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Data Theory Group Publications 1993-2008
Contents
2008 ......................................................................................................................................................... 1
2007 ......................................................................................................................................................... 2
2006 ......................................................................................................................................................... 3
2005 ......................................................................................................................................................... 3
2004 ......................................................................................................................................................... 4
2003 ......................................................................................................................................................... 5
2002 ......................................................................................................................................................... 6
2001 ......................................................................................................................................................... 6
2000 ......................................................................................................................................................... 7
1999 ......................................................................................................................................................... 8
1998 ......................................................................................................................................................... 9
1997 ....................................................................................................................................................... 10
1996 ....................................................................................................................................................... 12
1995 ....................................................................................................................................................... 13
1994 ....................................................................................................................................................... 14
1993 ....................................................................................................................................................... 16
Books / Monographs ............................................................................................................................. 18
Journal Articles/ Chapters in Books / Papers in Edited Volumes ......................................................... 18
Computer Programs for Multivariate Data Analysis ............................................................................. 24
2008
Books
Kroonenberg, P.M. (2008). Applied Multiway Data Analysis. Hoboken, NJ: Wiley
Articles
Draisma, H.M., Reijmers, Th.H., Bobeldijk-Pastorova, I., Meulman, J.J., et al. (2008).
Similarities and differences in lipidomics profiles among healthy monozygotic twin pairs.
OMICS, A journal of integrative biology, 12, 17-31.
Vermunt, J.K., Van Ginkel, J.R., Van der Ark, L.A., & Sijtsma, K. (2008). Multiple
imputation of incomplete categorical data using latent class analysis. Sociological
Methodology, 38, 369-397.
Alisic, E., Van der Schoot, T. A. W., Van Ginkel, J. R., & Kleber, R. J. (2008). Trauma
exposure in primary school children: Who is at risk? Journal of Child and Adolescent
Trauma, 1, 263-269 .
Alisic, E., Van der Schoot, T.A.W, Van Ginkel, J.R., & Kleber, R.J. (2008). Looking beyond
PTSD in Children: Posttraumatic Stress Reactions, Posttraumatic Growth, and Quality of
Life. Journal of Clinical Psychiatry, 69, 1455-1461.
Gilissen, R., Bakermans-Kranenburg, M.J., Van IJzendoorn, M.H., & Linting, M. (2008).
Electrodermal reactivity during the Trier Social Stress Test for Children: Interaction between
the serotonin transporter polymorphism and children's attachment representation.
Developmental Psychobiology, 50, 615-625.
2007
Dissertations
Van der Kooij, A.J. (2007). Prediction Accuracy and Stability of Regression with Optimal
Scaling Transformations. Thesis, Leiden University.
https://openaccess.leidenuniv.nl/dspace/handle/1887/12096
Linting, M. (2007). Nonparametric Inference in Nonlinear Principal Components Analysis:
Exploration and Beyond. Thesis, Leiden University.
https://openaccess.leidenuniv.nl/dspace/handle/1887/12386
Articles
Dusseldorp, E., Spinhoven, Ph., Bakker, A., Van Dyck, R., & Van Balkom, A.J.L.M. (2007).
Which panic disorder patients benefit from which treatment: Cognitive therapy or
antidepressants? Psychotherapy and Psychosomatics, 76, 154-161. Article
Gilissen, R., Bakermans-Kranenburg, M.J., Van IJzendoorn, M.H., & Linting, M. (2008).
Electrodermal reactivity during the Trier Social Stress Test for Children: Interaction between
the serotonin transporter polymorphism and children's attachment representation.
Developmental Psychobiology, 50, 615-625.
Van Ginkel, J. R., Van der Ark, L. A., & Sijtsma, K. (2007). Multiple imputation for item
scores when test data are factorially complex. British Journal of Mathematical and Statistical
Psychology, 60, 315-337.
Van Ginkel, J. R., Van der Ark, L. A., & Sijtsma, K. (2007). Multiple imputation of test and
questionnaire data and influence on psychometric results. Multivariate Behavioral Research,
42, 387-414.
Van Ginkel, J. R. Van der Ark, L. A., Sijtsma, K., & Vermunt, J. K. (2007). Two-way
imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and
an accurate approximation. Computational Statistics and Data Analysis, 51, 4013-4027.
Linting, M., Meulman, J. J., Groenen, P. J. F., & Van der Kooij, J. J. (2007). Nonlinear
Principal Components Analysis: Introduction and Application. Psychological Methods, 12,
336-358.
Linting, M., Meulman, J. J., Groenen, P. J. F., & Van der Kooij, J. J. (2007). Stability of
Nonlinear Principal Components Analysis: An empirical study using the balanced bootstrap.
Psychological Methods, 12, 359-379.
2006
Articles
Kroonenberg, P. M. & Anderson, C. J. (2006) Additive and multiplicative models for threeway contingency tables: Darroch (1974) Revisited (pp. 455-486). In M. J. Greenacre & J.
Blasius (Eds.) Multiple correspondence analysis and related methods. Chapman and Hall.
Ellis, R. N., Kroonenberg, P. M., Harch, B. D., & Basford, K. E. (2006). Nonlinear principal
component analysis: An alternative method for finding patterns in environmental data.
Environmetrics, 17, 1-11.
Kroonenberg, P. M., Oort, F. J., Stebbins, G. T., Leurgans, S. E., Cubo, E., & Goetz, C. G.
(2006). Motor function in Parkinson's disease and supranuclear palsy: Simultaneous factor
analysis of a clinical scale in several populations. BMC Medical Research Methodology, 6 (6),
1-13. (Web address: http://www.biomedcentral.com/1471-2288/6/26)
Dusseldorp, E., Spinhoven, Ph., Bakker, A., Van Dyck, R., & Van Balkom, A.J.L.M. (in
press). Which panic disorder patients benefit from which treatment: Cognitive therapy or
antidepressants? Psychotherapy and Psychosomatics.
Boersma, S.N., Maes, S., Joekes, K., & Dusseldorp, E. (in press). Goal processes in relation to
goal attainment: Predicting health-related quality of life in myocardial infarction patients.
Journal of Health Psychology.
Gebhardt, W.A., Kuyper, L., & Dusseldorp, E. (2006). Condom Use at First Intercourse with
a New Partner in Female Adolescents and Young Adults: The Role of Cognitive Planning and
Motives for Having Sex. Archives of Sexual Behavior, 35, 217-223. Article
2005
Kroonenberg, P.M. Model selection procedures in three-mode component models. In Vichi,
M., Molinari, P., Mignani, S. & Montanari, A. (Ed.), New developments in classification and
data analysis. (pp. 167-172). Berlin: Springer.
Kroonenberg, P.M. Statistiek: Argumentatiemiddel bij pedagogische vragen. In IJzendoorn,
M.H. van & Frankrijker, H. de (Ed.), Pedagogiek in Beeld. Inleiding in de pedagogische
studie van opvoeding, onderwijs en hulpverlening. (pp. 63-78). Houten: Bohn, Stafleu & van
Loghum.
Kroonenberg, P.M. Three-mode analysis. In Kotz, S., Read, C.B. Balakrishnan, N. &
Vidakovic, B. (Ed.), Encyclopedia of Statistical Sciences (2nd Edition; text unchanged from
first edition). (pp. 8597-8602). New York: Wiley.
Kroonenberg, P.M. Three-mode component and scaling models. In Everitt, B.S. & Howell, D.
(Ed.), Encyclopedia of Statistics in Behavioral Science. (pp. 2032-2044). Chichester: Wiley.
Kroonenberg, P.M. (02-09-2005). Datadozen: Analyse en historie. Rede bij de aanvaarding
van het ambt van bijzonder hoogleraar in de "Multivariate Analyse, in het bijzonder van
driewegdata". Leiden: Universiteit Leiden.
Meulman, J.J. & Heiser, W.J. SPSS Categories 14.0.,CD-rom.
2004
Bakermans-Kranenburg, M. J., Van IJzendoorn, M. H., & Kroonenberg, P. M. (2004).
Differences in attachment security between african-american and white children: Ethnicity or
socio-economic status? Infant Behavior and Development, 27, 417-433.
Commandeur, J. J. F. , Kroonenberg, P. M., & Dunn III, W. J. (2004). A dedicated
generalized Procrustes analysis algorithm for consensus molecular alignment. Journal of
Chemometrics, 18, 37-42.
Van Dijk, M. R., Steyerberg, E. W., Stenning, S. P., Dusseldorp, E., & Habbema, J. D. F.
(2004). Survival of patients with nonseminomatous germ cell cancer: A review of the IGCC
classification by Cox regression and recursive partitioning. British Journal of Cancer, 90,
1176-1183.
Dusseldorp, E. & Meulman, J.J. (2004). The regression trunk approach to discover treatment
covariate interaction. Psychometrika, 69, 355-374.
Friedman, J.F. & Meulman, J.J. (2004). Clustering objects on subsets of variables (with
discussion). Journal of the Royal Statistical Society, Series B, 4, 815-849.
Groenen, P.J.F., & Meulman, J.J. (2004). A comparison of the ratio of variances in distancebased and classical multivariate analysis. Statistica Neerlandica, 58, 428-439.
Van Os, B.J., & Meulman, J.J. (2004). Improving dynamic programming strategies for
partitioning. Journal of Classification, 21, 207-230.
Kroonenberg, P. M. (2004). Exploratory longitudinal analysis with three-mode component
models. In Droesbeke, J. J., LeJeune, M., & Saporta, G. (2004). Analyse statistique des
données longitudinales (pp. 45 – 101). Marseille, France: Societé Française de Statistique.
Meulman, J.J., Van der Kooij,. A.J., & Heiser, W.J. (2004). Principal Components Analysis
with Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data. In: D.
Kaplan (ed.), Handbook of Quantitative Methods in the Social Sciences, (pp. 49-70). Newbury
Park, CA: Sage Publications.
Van der Kooij, A.J. and Meulman, J.J. (2004). Multiple Correspondence Analysis. In J.J.
Meulman, W.J. Heiser, and SPSS Inc. (Eds.), SPPS Categories 13.0 (pp. 1-15, 297-316).
Chicago: SPSS Inc.
Van der Kooij, A.J. and Meulman, J.J. (2004). MULTIPLE CORRESPONDENCE. In SPSS
Inc. (Ed.), SPPS 13.0. Command Syntax Reference (pp. 1085-1099). Chicago: SPSS Inc.
Van der Kooij, A.J. and Meulman, J.J. (2004). Algorithm Document MULTIPLE
CORRESPONDENCE. Chicago: SPSS Inc.
Meulman, J. J., Heiser, W. J., (2004). SPSS Categories 13.0, Chicago: SPSS Inc. 2004.
Friedman, J.H. & Meulman, J.J., COSA, clustering attributes on subsets of variables,
Department of Statistics, Stanford University, 2004.
Van der Kooij, A.J. & Meulman, J.J., MULTIPLE CORRESPONDENCE, Multiple
correspondence analysis, revised and updated version of HOMALS, SPSS Categories, 2004
Van der Kooij, A. J., MULTIPLE CORRESPONDENCE version 1.0, in SPSS Categories
13.0,. 2004.
2003
Bensmail, H. & Meulman, J.J. (2003). Inferences for model-based cluster analysis with noise.
Journal of Classification 20(1), (pp 49-76).
Friedman, J.H. & Meulman, J.J. (2003). Multiple additive regression trees with application in
epidemiology. Statistics in Medicine, 22, (pp 1365-1381).
Kroonenberg, P. M. (2003). Biplot. In M. Lewis-Beck, A. Bryman., and T. F. Liao (Eds.),
Encyclopaedia of social science research methods (pp. .70 71). Thousand Oaks, CA: Sage.
Kroonenberg, P. M. (2003). Principal component analysis. In M. Lewis-Beck, A. Bryman.,
and T. F. Liao (Eds.), Encyclopaedia of social science research methods (pp.855 856).
Thousand Oaks, CA: Sage.
Kroonenberg, P. M. , Dunn III, W. J. , & Commandeur, J. J. F. (2003). Consensus alignment
based on Generalized Procrustes Analysis. Journal of Chemical Information and Computer
Science, 43, 2025 - 2032
Kroonenberg, P.M. & Oort, F. J. (2003). Three-mode analysis of multimode covariance
matrices. British Journal of Mathematical and Statistical Psychology, 56,305-336.
Meulman, J.J. (2003). Prediciton and Classification in Nonlinear Data Analysis: Something
old, something new, something borrowed, something blue. Psychometrika, 68.
Murakami, T, & Kroonenberg, P.M. (2003). Individual differences in semantic differential
studies and their analysis by three-mode models. Multivariate Behavioral Research, 38, 8796.
De Rooij, M. & Kroonenberg, P. M. (2003). Models of forecasting in dyadic sequential
interaction data with and without the use of weights. Multivariate Behavioral Research, 38,
463-504.
Schipper, J.C. de, Tavecchio, L.W.C., IJzendoorn, M.H. van & Linting, M. (2003). The
relation of flexble child care to quality of center day care and children's socio-eotional
functioning: A survey and observational study. Infant Behavior and Development 26(1), (pp
300-325)
Theunissen, N.C.M., Meulman, J.J., Den Ouden, A.L., Koopman, H.M., Verrips, G.H.,
Verloove-Vanhorick, S.P., & Wit, J.M. (2003). Changes can be studied when the
measurement instrument is different at time points. Health Services and Outcomes Research
Methodology, 4.
Yanai, H., Okada, A., Shigemasu, K., Kano, Y. & Meulman, J.J. (Ed(s). New Developments in
Psychometrics. Tokyo: Springer-Verlag.
2002
De la Vega, A.J., Hall, A.J. & Kroonenberg, P.M. (2002). Investigating the physiological
bases of predictable and unpredictable genotype by environment interactions using three
mode pattern analysis. Field Crops Research, 78, (pp 165-183).
Dusseldorp, E. & Meulman, J.J. (2002). Application of data mining tools in the behavioral
sciences. In Meij, J. (Ed.), Dealing with the data flood: Mining data, text and multimedia (pp
220-234). The Hague: Stt/Beweton.
Hubert, L.J., Arabie, P. & Meulman, J.J. (2002). Linear Unidimensional Scaling in the L2
Norm: Basic Optimization Methods using MATLAB. Journal of Classification, Vol. 19 - 2.
Kroonenberg, P.M., Murakami, T. & Coebergh, J.W.W. (2002). Added value of three-way
methods for the analysis of mortality trends illustrated with world-wide female cancer
mortality (1968-1985). Statistical Methods in Medical Research, 11 (pp 175-292).
Meulman, J.J., Kooij, A.J. van der & Babinec, A. (2002). New features of Categorical
Principal Components Analysis for Complicated Data Sets, including Data Mining. In Gaul,
W. & Ritter, G. (Ed.), Classification, Automation and New Media. (pp 207-217). Heidelberg,
Berlin: Springer Verlag.
2001
Baele, J., Dusseldorp, E. & Maes, S. (2001). Condom use self-efficacy: Effect on intended
and actual condom use in adolescents. Journal of Adolescent Health, 28, 421-431.
Brezinka, V., Maes, S. & Dusseldorp, E. (2001). Gender differences in psychological
impairment after a coronary incident. Personality and Individual Differences, 30, 127-135.
Dusseldorp, E. (2001). Discovering Treatment Covariate Interaction: An Integration of
Regression Trees and Multiple Regression. Universiteit Leiden, 148 pp. (Enschede:
PrintPartners Ipskamp).
Dusseldorp, E. & Meulman, J.J. (2001). Prediction in medicine by integrating regression trees
into regression analysis with optimal scaling. Methods of Information in Medicine, 40, 403409.
Groenen, P.J.F. & Jajuga, K. (2001). Fuzzy clustering with squared Minkowski distances.
Fuzzy Sets and Systems, 120, 227-237.
Kroonenberg, P.M. (2001). Three-mode correspondence analysis: An illustrated expose. In -(Ed.), Actes XXXIIIième Journées de Statistique. (pp. 101-108). Nantes: Société Française de
Statistique.
Lans, I. van der, Groenen, P.J.F. & Pennings, E.J.M. (2001). Multiple scaling with multiple
axial partitioning constraints: With an application to financial product development.
Proceedings of the 2001 Marketing Science Conference, July 5-8, 2001. (pp. 237).
Wiesbaden, Germany: Johannes Gutenberg-University of Mainz.
Van Elderen-van Kemenade, T.M.T. & Dusseldorp, E. (2001). Lifestyle effects of group
health education for patients with coronary heart disease. Psychology and Health, 16, 327341.
Van Os, B.J. (2001). Dynamic Programming for Partitioning in Multivariate Data Analysis.
Universiteit Leiden, 262 pp. (Veenendaal: Universal Press).
2000
Gilbert, D.A., Sutherland, M. & Kroonenberg, P.M. (2000). Exploring subject-related
interactions in repeated measures data using three-mode principal components analysis.
Nursing Research, 49, 57-61.
Groenen, P.J.F. & Heiser, W.J. (2000). Iterative Majorization Algorithms in Statistical
Computing. Discussion of: K. Lange, D.R. Hunter & I. Yang, Optimization transfer using
surrogate objective functions. Journal of Computational and Graphical Statistics, 9, 44-48.
Groenen, P.J.F., Os, B.J. van & Meulman, J.J. (2000). Optimal scaling by alternating length
constrained nonnegative least squares: An application to distance based principal components
analysis. Psychometrika, 65, 511-524.
Groenen, P.J.F. & Franses, P.H. (2000). Visualizing time-varying correlations across stock
markets. Journal of Empirical Finance, 7, 155-172.
Groenen, P.J.F., Mathar, R. & Trejos, J. (2000). Global optimization methods for
multidimensional scaling applied to mobile communication. In Gaul, W, Opitz, O. & Schader,
M. (Ed.),Data Analysis. (pp. 459-469). Heidelberg: Springer.
Groenen, P.J.F. (2000). Review of Clausen (1998), Applied correspondence analysis: An
introduction [Thousand Oaks, CA: Sage]. In: Contemporary Psychology, 45, 327-328.
Haas, M. de, Algera, J.A., Tuijl, H.F.J.M. Van & Meulman, J.J. (2000). Macro and micro goal
setting: In search of coherence. International Review of Health Psychology, 49, 577-593.
Hubert, L.J., Meulman, J.J. & Heiser, W.J. (2000). Two purposes for matrix factorization: A
historical appraisal. SIAM Review, 42(1), 68-82.
Kiers, H.A.L., Rasson, J.-P., Groenen, P.J.F. & Schader, M. (2000). Data Analysis,
classification, and related methods. Berlin: Springer, 428 pp.
Lombardo, R., Kroonenberg, P. M., & D'Ambra, L. (2000). Nonsymmetric Correspondence
Analysis: a simple tool in market share distribution. Journal of the Italian Statistical Society,
9, 107-126. (publication of issue was delayed until August 2003).
Meulman, J.J. (2000). Relational data analysis: Discrimination and classification. In Decker,
R. & Gaul, W. (Ed.), Classification and Information Processing at the Turn of the
Millennium. (pp. 32-39). Berlin-Heidelberg: Springer-Verlag.
Stappers, P.J., Pasman, G. & Groenen, P.J.F. (2000). Exploring databases for taste or
inspiration with interactive multi-dimensonal scaling. Proceedings IEA 2000 / HFES 2000,
Ergonomics for the next Millennium. (pp. 3-575-3-578). Santa Monica (USA).
Theunissen, N.C.M., Ouden, A.L. den, Meulman, J.J., Koopman, H.M., Verloove-Vanhorick,
S.P. & Wit, J.M. (2000). Health status development in a cohort of preterm children. Journal
of Pediatrics, 137(4), 534-539.
Zeijl, E., Poel, M.Y.A.H. te, Bois-Reymond, M. du, Ravesloot, J.H. & Meulman, J.J. (2000).
The role of parents and peers in the leisure activities of young adolescents. Journal of Leisure
Research, 32(3), 281-302.
1999
Chatrou, M., Maes, S., Dusseldorp, E., & Seegers, G. (1999). Effects of the Brabant smoking
prevention programme: A replication of the Wisconsin programme. Psychology and Health,
14, 159-178.
Commandeur, J.J.F., Groenen, P.J.F., & Meulman, J.J. (1999). A distance-based variety of
nonlinear multivariate data analysis, including weights for objects and variables.
Psychometrika, 64, 169-186.
Dusseldorp, E., Van Elderen, T., Maes, S., Meulman, J., & Kraaij, V. (1999). A meta-analysis
of psychoeducational programs for coronary heart disease patients. Health Psychology, 18 (5),
506-519.
Gebhardt, W.A., Dusseldorp, E., & Maes, S. (1999). Measuring transitions through stages of
exercise: Application of latent transition analysis. Perceptual and Motor Skills, 88, 10971106.
Gower, J.C., Meulman, J.J., & Arnold, G.M. Non-metric linear biplots (1999). Journal of
Classification, 16, 181-196.
Groenen, P.J.F., Heiser W.J., & Meulman, J.J. (1999). Global optimization in least-squares
multidimensional scaling by distance smoothing. Journal of Classification, 16, 225–254.
Meulman, J.J., Heiser, W.J., & SPSS Inc. (1999), Categories 10.0. Chicago: SPSS Inc.
Van Elderen, T. Maes, S., & Dusseldorp, E. (1999). Coping with coronary heart disease: A
longitudinal study. Journal of Psychosomatic Research, 47 (2), 175-183.
1998
Bensmail, H. & Meulman, J.J., (1998). MCMC Inference for model-based cluster analysis. In:
A. Rizzi, M. Vichi & H.H. Bock (Eds.), Advances in Data Science and Classification, (pp.
191-196). Berlin: Springer-Verlag.
Bensmail, H., & Meulman, J.J. (1998). MCMC Inferences in Model-Based Cluster Analysis
with Noise. Research Report RR-98-02. Leiden: Department of Data Theory, Leiden
University.
Borg, I. & Groenen, P.J.F. (1998). Regional interpretations in MDS. In: M. Greenacre & J.
Blasius (Eds.), Visual Display of Categorical Data, pp. 347-364. New York: Academic Press.
Brezinka, V. Dusseldorp, E., & Maes, S. (1998). Gender differences in psychosocial profile at
entry into cardiac rehabilitation. Journal of Cardiopulmonary Rehabilitation, 18 (6), 445-449.
Commandeur, J.J.F. (1998). A New Approach to the Subspace Matching of Configurations,
Including Object Weights. Research Report RR-98-03. Leiden: Department of Data Theory.
Groenen, P.J.F., Heiser, W.J., & Meulman J.J., (1998). City-block scaling: smoothing
strategies for avoiding local minima. In: I. Balderjahn, R. Mathar, & M. Schader, (Eds.),
Classification, Data Analysis and Data Highways (pp. 46-53). Berlin: Springer-Verlag.
Groenen, P.J.F., Van Os, B.-J., & Meulman, J.J. (1998). Optimal scaling by alternating
length-constrained nonnegative least squares: an application to distance based principal
components analysis. Research Report RR-98-01. Leiden: Department of Data Theory,
Leiden University.
Groenen, P.J.F. & Meulman, J.J. (1998). Larger Variance Accounted for in Distance-Based
Multivariate Analysis Compared to Classical Multivariate Analysis. Research Report RR-9804. Leiden: Data Theory Group.
Groenen, P.J.F., Commandeur, J.J.F., & Meulman J.J. (1998). Distance analysis of large data
sets of categorical variables using object weights. Britisch Journal of Mathematical and
Statistical Psychology , 51, 217-232.
Hubert, L.J., Arabie, P., & Meulman, J.J. (1998). Graph-theoretic representation for proximity
matrices through strongly-anti-Robinson or circular-anti-Robinson matrices. Psychometrika,
63, 341-358.
Hubert, L.J., Arabie, P., & Meulman, J.J. (1998). The representation of symmetric proximity
data: dimensions and classifications. The Computer Journal, 41, 566-577.
Markus, M.Th. & Groenen, P.J.F. (1998). Book review of: Efron and Tibshirani (1993), An
introduction to the bootstrap. Psychometrika, 63, 97–101.
Meulman, J.J. (1998). Optimal Scaling Methods for Graphical Display of Multivariate Data.
In: R. Payne & P. Green (Eds.), COMPSTAT 1998 Proceedings in Computational Statistics,
(pp. 65-76). Heidelberg: Physica-Verlag.
Meulman, J.J., (1998). A Distance-based Biplot for Multidimensional Scaling of Multivariate
Data. In: C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.H. Bock & Y. Baba (Eds.), Data
Science, Classification, and Related Methods, pp. 506-517. Tokyo: Springer-Verlag.
Meulman, J.J. (1998). Book review of W.J. Krzanowski and F.H.C. Marriott, Multivariate
Analysis, Part I, Distributions, Ordination and Inference, Journal of Classification , 15, 287293.
Meulman, J.J., Hubert, L.J. & Heiser, W.J. (1998). The Data Theory Scaling System. In: A.
Rizzi, M. Vichi & H.H. Bock (Eds.), Advances in Data Science and Classification, (pp. 489496). Berlin: Springer-Verlag.
1997
Borg, I., & Groenen, P.J.F. (1997). Modern multidimensional scaling: theory and
applications. New York: Springer, 471 pages.
Borg, I., & Groenen, P.J.F. (1997). Multitrait-multimethod by multidimensional scaling. In:
W. Bandilla & F. Faulbaum (Eds.), Advances in Statistical Software 6, pp. 59-66. Stuttgart:
Lucius & Lucius.
Busing, F.M.T.A., Commandeur, J.J.F. & Heiser, W.J. (1997). PROXSCAL: A
multidimensional scaling program for individual differences scaling with constraints. In: W.
Bandilla & F. Faulbaum (Eds.), Advances in Statistical Software 6, (pp. 67-73). Stuttgart:
Lucius & Lucius.
Commandeur, J.J.F., Groenen, P.J.F., & Meulman, J.J. (1997). A distance-based variety of
nonlinear multivariate data analysis, including weights for objects and variables. Research
Report RR-97-03. Leiden: Department of Data Theory.
De Leeuw, J. & Groenen, P.J.F. (1997). Inverse multidimensional scaling. Journal of
Classification, 14, 3-21.
Groenen, P.J.F., Commandeur, J.J.F. & Meulman, J.J. (1997). PIONEER: A program for
distance-based multivariate analysis. In: W. Bandilla & F. Faulbaum (Eds.), Advances in
Statistical Software 6, (pp. 83-90). Stuttgart: Lucius & Lucius.
Groenen, P.J.F., Heiser W.J., & Meulman, J.J. (1997). City-block scaling: Smoothing
strategies for avoiding local minima. Research Report RR-97-01. Leiden: Department of Data
Theory, University of Leiden.
Groenen, P.J.F., Heiser W.J., & Meulman, J.J. (1997). Global optimization in least-squares
multidimensional scaling by distance smoothing. Research Report RR-97-02. Leiden:
Department of Data Theory, University of Leiden.
Heiser, W.J. & Groenen, P.J.F. (1997). Cluster differences scaling with a within-cluster loss
component and a fuzzy successive approximation strategy to avoid local minima.
Psychometrika, 62, 63-83.
Heiser, W.J. & Meulman, J.J. (1997). Nonlinear Multivariate Analysis: Overview and recent
advances. In: M. Ato Garcia & J. A. Lopez Pina (Eds.), IV Simposio de Metodologia de las
Ciencias del Comportamiento (pp. 15-32). Murcia: Servicio de Publicaciones, Universidad.
Heiser, W.J. & Meulman, J.J. (1997). Representation of binary multivariate data by graph
models using the Hamming metric. In: E. Wegman and S. Azen (Eds.), Computing Science
and Statistics, 29(2), (pp. 517-525). Fairfax, VA: Interface Foundation of North America, Inc.
Heiser, W.J. & Groenen, P.J.F. (1997). Cluster differences scaling with a within-cluster loss
component and a fuzzy successive approximation strategy to avoid local minima.
Psychometrika, 62, 63-83.
Hubert, L.J., Arabie, P., Meulman, J.J. (1997). The construction of globally optimal ordered
partitions. In: B. Mirkin, F.R. McMorris, F.S. Roberts, and A. Rzhetsky (Eds.), Mathematical
Hierarchies and Biology, (pp. 299-311). DIMACS Series in Discrete Mathematics and
Theoretical Computer Science. Providence, RI: American Mathematical Society.
Hubert, L.J., Arabie, P., Meulman, J.J. (1997). Linear and circular unidimensional scaling for
symmetric proximity matrices , British Journal of Mathematical and Statistical Psychology,
50, 253-284.
Hubert, L.J., Arabie, P., Meulman, J.J. (1997). Hierarchical clustering and the construction of
(optimal) ultrametrics using Lp - norms. In: Y. Dodge (Ed.), L1-Statistical Procedures and
Related Topics, (pp. 457-472). Lecture Notes - Monograph Series, Hayward. CA: Institute of
Mathematical Statistics.
Meulman, J.J. (1997). Multivariate data analysis through optimal scoring methods. In:
Bulletin of the International Statistical Institute, Proceedings of the 51th Session of the ISI,
(pp. 247-250). Istanbul: International Statistical Institute.
Meulman, J.J. & Heiser, W.J., (1997). Graphical display of interaction in Multiway
Contingency Tables by Use of Homogeneity Analysis: the 2 x 2 x 2 x 2 Case. In: M.
Greenacre & J. Blasius (Eds.), Visual Display of Categorical Data, pp. 277-296. New York:
Academic Press.
Rietveld, W.J., Boon, M.E. & Meulman, J.J. (1997). Seasonal Fluctuations in the Cervical
Smear Detection Rates for (Pre)Malignant Changes and for Infections. Diagnostic
Cytopathology, 17, 6, 452-455.
Van der Ham, Th., Meulman, J.J., Van Strien, D.C. and Van Engeland, H. (1997). Empirically
based subgrouping of eating disorders in adolescents: a longitudinal perspective. British
Journal of Psychiatry, 170, 363-368.
Van der Kooij, A.J. , & Meulman J.J., (1997). MURALS: Multiple regression and optimal
scaling using alternating least squares. In: W. Bandilla & F. Faulbaum (Eds.), Advances in
Statistical Software 6, (pp. 99-106). Stuttgart: Lucius & Lucius.
Van Poppel, F., Post, W. & Groenen, P.J.F. (1997). Age preferences of spouses, the
Netherlands 1850-1993: An application of correspondence analysis. In: H. van den Brekel en
F. Deven, Population and family in the low countries 1996/1997: Selected current issues, pp.
190-218, Den Haag: NIDI.
1996
Borg, I., & Groenen, P.J.F. (1996). Asymmetries in multidimensional scaling. In: F.
Faulbaum & W. Bandilla (Eds.), SoftStat '95: Advances in Statistical Software, pp. 3135.
Stuttgart: Gustav Fischer.
Dusseldorp, E.M.L. (1996). The study of aptitude treatment interaction by nonlinear methods:
evaluation of a psychosocial treatment for chronic obstructive pulmonary disease. Research
Report RR-96-03, Department of Data Theory, Leiden University (27 pp.).
Groenen, P.J.F., & Borg, I. (1996). Programs for multidimensional scaling: a comparison. In:
F. Faulbaum & W. Bandilla (Eds.), SoftStat '95: Advances in Statistical Software, pp. 4756.
Stuttgart: Gustav Fischer.
Groenen, P.J.F., & Heiser, W.J. (1996). The tunneling method for global optimization in
multidimensional scaling. Psychometrika, 61, 529550.
Groenen, P.J.F., Commandeur, J.J.F., & Meulman J.J. (1996). Distance analysis of large data
sets of categorical variables using object weights. Research Report RR-96-01, Department of
Data Theory, Leiden University (27 pp.).
Heiser, W.J. (1996). Fitting graphs and trees with multidimensional scaling methods.
Research RR-96-06, Department of Data Theory, Leiden University; (11 pp.).
Hubert, L.J., Arabie, Ph., & Meulman, J.J. (1996). Linear and Circular Unidimensional
Scaling for Symmetric Proximity Matrices. Research Report RR-96-02, Department of Data
Theory, Leiden University; (54 pp.).
Kiers, H.A.L. & Groenen, P.J.F. (1996). A monotonicaly convergent algorithm for orthogonal
congruence rotation. Psychometrika, 61, 375389.
Meulman, J.J. (1996). Fitting a distance model to homogeneous subsets of variables: Points of
view analysis of categorical data. Journal of Classification, 13, 249-266.
Meulman, J.J. (1996). A distance-based biplot for multidimensional scaling of multivariate
data. Research RR-96-04, Department of Data Theory, Leiden University; (28 pp.).
Meulman, J.J. & Heiser, W.J. (1996). Graphical display of interaction in multiway
contingency tables by use of homogeneity analysis. Research Report RR-96-05, Department
of Data Theory, Leiden University; (12 pp.).
Meulman, J.J. (1996). Fitting a distance model to homogeneous subsets of variables: Points of
view analysis of categorical data. Journal of Classification, 13, 249-266.
Van der Kooij, A.J. (1996). Hierarchical GROUPALS: a simultaneous optimization method
for hierarchical clustering using a minimum variance criterion under optimal scaling of the
variables. Research Report RR-96-07, Department of Data Theory, Leiden University; (36
pp.).
Zielman, B. & Heiser, W.J. (1996). Models for asymmetric proximities. British Journal of
Mathematical and Statistical Psychology, 49, 127-146.
1995
Busing, F.M.T.A., Van der Leeden, R., & Meijer, E. (1995). MLA: Software for Two-Level
Analysis with Resampling Options. Multilevel Modelling Newsletter, Vol. 7, No. 3, December
1995.
Dijksterhuis, G.B. & Heiser, W.J. (1995). The role of permutation tests in exploratory
multivariate data analysis. Food Quality and Preference, 6, 263-270.
Groenen, P.J.F., & Heiser, W.J. (1995). The Tunneling Method for Global Optimization in
Mult-idimensional Scaling. Research Report RR-95-02, Department of Data Theory,
University of Leiden (40 pp.).
Groenen, P.J.F., Mathar, R., & Heiser, W.J. (1995). The majorization approach to
multidimensional scaling for Minkowski distances. Journal of Classification, 12, 3-19.
Heiser, W.J. (1995). Convergent computation by iterative majorization: Theory and
applications in multidimensional data analysis. In: W.J. Krzanowski (Ed.), Recent Advances
in descriptive Multivariate Analysis. Oxford: Oxfrod University Press; 157-189.
Heiser, W.J. (1995). Nested solutions in least squares multidimensional scaling. Statistics in
Transition, Journal of the Polish Statistical Association, 2, 237-249.
Heiser, W.J. & Meulman, J.J. (1995). Nonlinear methods for the analysis of homogeneity and
heterogeneity. In: W.J. Krzanowski (Ed.), Recent Advances in Descriptive Multivariate
Analysis. Oxford: Oxford University Press; 51-89.
Heiser, W.J. and Bennani M. (1995). Triadic Distance Models for Triadic Dissimiliarity
Data. Research Report RR-95-04, Department of Data Theory, University of Leiden; (49 pp.).
Meijer, E., Van der Leeden, R., & Busing F.M.T.A. (1995), Implementing the Bootstrap for
Multilevel Models. Multilevel Modelling Newsletter, 7, 2, June 1995.
Meulman, J.J. (1995). Review of Elements of Dual Scaling: An Introduction to Practical Data
Analysis, by Shizuhiko Nishisato, Journal of the American Statistical Association, 90, , 395396.
Rietveld, W.J., Boon, M.E. & Meulman, J.J. (1995). Seasonal fluctuations in the cervical
smear detection rates for (pre)malignant changes and for infections: a mirror-like pattern of
data from the Northern and the Southern hemisphere. Research Report RR-95-05,
Department of Data Theory, University of Leiden; (19 pp.)
Van de Geer, J.P. (1995). Some Aspects of Minkowski Distances. Research Report RR-95-03,
Department of Data Theory, University of Leiden; (63 pp.).
Van der Ham, Th., Meulman, J.J., Van Strien, D.C., & Van Engeland, H. (1995). Empirically
Based Subgrouping of Eating Disorders in Adolescents by Principal Components Analysis: A
Longitudinal Perspective. Research Report RR-95-01, Department of Data Theory, University
of Leiden; (20 pp.).
1994
Arabie, P., & Hubert, L.M (1994). Cluster analysis in marketing research. In: R. P. Bagozzi
(Ed.), Handbook of Marketing Research. Oxford: Blackwell, pp. 160-189.
Busing, Frank M.T.A., Meijer, Erik, & Van der Leeden, Rien (1994). MLA Software for
Multilevel Analysis of Data with Two Levels. User's Guide for Version 1.0b. Leiden
Psychological Reports PRM-01-94, Department of Psychology, University of Leiden, 84 pp.
Dijksterhuis, G., Heiser, W., King, B., & Punter, P. (1994). Meeting Report. Food Quality
and Preference, Vol. 5, no. 3, pp. 233.
Groenen, P.J.F., & Jajuga, K. (1994). Fuzzy Clustering with Squared Minkowski Distances.
Research Report RR-94-06, Department of Data Theory, University of Leiden, 1994 (10 pp.).
Heiser, W.J. (1994). Reparametrization of homogeneity analysis to accomodate parallel item
characteristic curves. Research Report RR-94-05, Department of Data Theory, University of
Leiden; (7 pp.).
Heiser, W.J., & Groenen, P.J.F. (1994). Cluster differences scaling with a within clusters loss
component and a fuzzy successive approximation strategy to avoid local minima. Research
Report RR-94-03, Department of Data Theory, University of Leiden, (34 pp.).
Heiser, W.J., & Meulman, J.J. (1994). Homogeneity analysis: exploring the distribution of
variables and their nonlinear relationships. In: M. Greenacre, & J. Blasius (Eds.),
Correspondence Analysis in the Social Sciences: Recent Developments and Applications.
New York: Academic Press; 179-209.
Heiser, W.J., Meulman, J.J. & Kroonenberg, P.M. (1994). Applied Multivariate Data Analysis
Examples II. Internal Report, Faculty of Social Sciences, University of Leiden; selection of
research papers (98 pp.).
Hubert, L., & Arabie, P. (1994). The analysis of proximity matrices through sums of matrices
having (anti-)Robinson forms. British Journal of Mathematical and Statistical Psychology,
47, 1-40.
Hubert, L., & Arabie, Ph. (1994). Iterative Projection Strategies for the Least-squares Fitting
of Graph Theoretic Structures to Proximity Data. Research Report RR-94-02, Department of
Data Theory, University of Leiden; (62 pp.).
Kroonenberg, P.M., Meulman, J.J., & Heiser, W.J. (1994). Applied Multivariate Data
Analysis Exercises. Internal Report, Faculty of Social Sciences, University of Leiden, 1994
(37 pp.).
Markus, M.Th. (1994). Bootstrap Confidence Regions in Nonlinear Multivariate Analysis.
Leiden: DSWO Press (215 pp.).
Meulman, J.J. (1994). Fitting a Distance Model to Homogeneous Subsets of variables: Points
of View Analysis of Categorical Data. Research Report RR-94-01, Department of Data
Theory, University of Leiden; (36 pp.).
Meulman, J.J., Kroonenberg, P.M., & Heiser, W.J. (1994). Applied Multivariate Data
Analysis Examples. Internal Report, Faculty of Social Sciences, University of Leiden;
selection of research papers (96 pp.).
Van der Leeden, R., & Busing, F.M.T.A. (1994). First iteration versus final IGLS/RIGLS
estimates in two-level models: a Monte Carlo study with ML3. Leiden Psychological Report
PRM-02-94, Department of Psychometrics and Research Methodology, University of Leiden;
(21 pp.).
Verboon, P. (1994), A Robust Approach to Nonlinear Multivariate Analysis. Leiden: DSWO
Press. (204 pp.).
Verboon, P., & Heiser, W.J. (1994). Robust principal components analysis. Computational
Statistics and Data Analysis, 18, 457-467.
Verboon, P., & Van der Lans, I.A. (1994). Robust canonical discriminant analysis.
Psychometrika, 59, 485-507.
Zielman, B., & Heiser, W.J. (1994). Models for asymmetric proximities. Research Report RR94-04, Department of Data Theory, University of Leiden; (34 pp.).
1993
Commandeur, J.J.F. & Heiser, W.J. (1993). Mathematical derivations in the proximity scaling
(PROXSCAL) of symmetric data matrices. Research Report RR-93-04. University of Leiden:
Department of Data Theory (1993); 72 pp.
Constantine, A.G., Gower, J.C., & Zielman, B. (1993). A Cappadocian tablet problem. In:
Andresen, J., Madsen, T., & Scollar, I. (Eds.), Computer Applications in Archaeology.
Aarhus: Aarhus University Press (1993); 303:315.
De Leeuw, J., & Groenen, P.J.F. (1993). Inverse multidimensional scaling. UCLA Statistics
Series, 144 (1993); 52 pp.
De Soete, G. & Heiser, W.J. (1993). A latent class unfolding model for analyzing single
stimulus preference ratings. Psychometrika, 58 (1993); 545-565.
Gower, J.C. & Meulman, J.J. (1993). The treatment of categorical information in physical
anthropo-logy. International Journal of Anthropology, 8, 43-51. (Dit artikel is niet vermeld in
het verslag van 1993.)
Groenen, P.J.F. (1993). The Majorization Approach to Multidimensional Scaling: Some
problems and extensions. Leiden: DSWO Press. (170 pp.)
Groenen, P.J.F. (1993). An application of the modified Leverrier-Faddeev algorithm for
partitioned block designs in multidimensional scaling. In: Steyer, R., Wender, K.F. &
Widaman, K.F. (Eds.), Psychometric Methodology. Proceedings of the 7th European Meeting
of the Psychometric Society in Trier. Stuttgart: Gustav Fischer Verlag, 151-156.
Heiser, W.J. (1993). Book review of: J. Whittaker, Graphical Models in Applied Multivariate
Analysis. Kwantitatieve Methoden, 14, 179-180.
Heiser, W.J. (1993). Zoeken in de bibliografische ruimte: de bijzondere rol van hiërarchische
classificaties bij geautomatiseerde onderwerpsontsluiting, Open, Vaktijdschrift voor
Bibliothecarissen, Literatuuronderzoekers en Documentalisten, 25, 46-50.
Heiser, W.J. (1993). Convergent computation by iterative majorization: Theory and
applications in multidimensional data analysis. Research Report RR-93-06. University of
Leiden: Department of Data Theory; 40 pp.
Heiser, W.J. & Meulman, J.J.(1993). Nonlinear methods for the analysis of homogeneity and
hetero-geneity. Research Report RR-93-03. University of Leiden: Department of Data
Theory; 39 pp.
Meulman, J.J. (1993). Principal coordinates analysis with optimal transformations of the
variables: minimizing the sum of squares of the smallest eigenvalues. British Journal of
Mathematical and Statistical Psychology, 46, 287-300.
Meulman, J.J. & Verboon, P. (1993). Points of view analysis revisited: fitting
multidimensional structures to optimal distance components with cluster restrictions on the
variables. Psychometrika, 58, 7-35.
Nierop, A.F.M. (1993). Multidimensional Analysis of Grouped Variables: An integrated
approach. Leiden (1993); 202 pp.
Nierop, A.F.M. (1993). The INDRES model: An INDSCAL model with residuals orthogonal
to INDSCAL dimensions. In: Steyer, R., Wender, K.F. & Widaman, K.F. (Eds.),
Psychometric Methodology. Proceedings of the 7th European Meeting of the Psychometric
Society in Trier. Stuttgart: Gustav Fischer Verlag (1993); 366-370.<
Ten Berge, J.M.F., Kiers, A.L & Commandeur, J.J.F. (1993). Orthogonal Procrustes rotation
for matrices with missing values. British Journal of Mathematical and Statistical Psychology,
46; 119-134.
Van der Lans, I. A. (1993). An extension of Tucker's vector model for individual differences
in preference accommodating multiattribute preference data. In: Steyer, R., Wender, K.F. &
Widaman, K.F. (Eds.), Psychometric Methodology. Proceedings of the 7th European Meeting
of the Psychometric Society in Trier. Stuttgart: Gustav Fischer Verlag; 253-257.
Verboon, P. (1993). An aplication of resistant nonlinear principal component analysis. In:
Steyer, R., Wender, K.F. & Widaman, K.F. (Eds.), Psychometric Methodology. Proceedings
of the 7th European Meeting of the Psychometric Society in Trier. Stuttgart: Gustav Fischer
Verlag; 544-549.
Verboon, P. (1993). Stability of resistant principal components analysis for qualitative data.
In: Morgenthaler, S., Ronchetti, E, & Stahel, W.A. (Eds.), New Directions in Statistical Data
Analysis and Robustness. Monte Verita: Birkhauser Verlag Basel; 265-273.
Verboon, P. (1993). Robust nonlinear regression analysis. British Journal of Mathematical
and Statistical Psychology, 46, 77-94.
Verboon, P. & Van der Lans, I.A. (1993). Robust canonical discriminant analysis. Research
Report RR-93-02. University of Leiden: Department of Data Theory; 29 pp.
Verboon, P. & Gabriel, K.R. (1993). Generalized Procrustes analysis with iterative weighting
to achieve resistance. ` Research Report RR-93-05. University of Leiden: Department of Data
Theory; 26 pp.
Zielman, B. (1993). Two methods for multidmensional analysis of three-way skew-symmetric
matrices. Research Report RR-93-01. University of Leiden: Department of Data Theory; 21
pp.
Zielman, B. & Heiser, W.J. (1993). Analysis of asymmetry by a slide vector. Psychometrika,
58; 101-114.
Books / Monographs
Hubert, L.J., Arabie, P., & Meulman, J.J. (2006). The Structural Representation of Proximity
Matrices with MATLAB. Philadelphia: ASA-SIAM.
Meulman, J. J., & Heiser, W. J. (2005). Categories 14.0. Chicago: SPSS Inc.
Yanai, H., Okada, A., Shigemasu, K., Kano, Y., & Meulman, J,J, (Eds.) (2003). New
Developments in Psychometrics. Tokyo: Springer-Verlag.
Hubert, L.J., Arabie, P., & Meulman, J.J. (2001). Combinatorial Data Analysis: Optimization
by Dynamic Programming. Philadelphia: SIAM.
Meulman, J. J., Heiser, W. J., & SPSS Inc. (1999). Categories 10.0. Chicago: SPSS Inc.
Albert Gifi (1990). Nonlinear Multivariate Analysis (Eds. W.J. Heiser, J.J. Meulman, G. van
der Berg). New York: Wiley.
Coppi R., & Bolasco, S. (Eds., 1989), The analysis of multiway data matrices. Amsterdam:
North-Holland [Associate Editor].
De Leeuw, J., Heiser, W.J., Meulman, J.J., & Critchley, F. (Eds., 1986). Multidimensional
data analysis. Leiden: DSWO Press.
Meulman, J.J. (1986). A distance approach to nonlinear multivariate analysis. Leiden: DSWO
Press.
Meulman, J.J. (1982). Homogeneity analysis of incomplete data. Leiden: DSWO Press.
Journal Articles/ Chapters in Books / Papers in Edited Volumes
Van der Kooij, A.J., Meulman, J.J., & Heiser, W.J. (2006). Local minima in categorical
multiple regression. Computational Statistics and Data Analysis, 5, 446-462.
Meulman, J.J., Van der Kooij,. A.J., & Heiser, W.J. (2004). Principal Components Analysis
with Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data. In: D.
Kaplan (ed.), Handbook of Quantitative Methods in the Social Sciences, (pp. 49-70).
Newbury Park, CA: Sage Publications.
Friedman, J.F. & Meulman, J.J. (2004). Clustering objects on subsets of variables (with
discussion). Journal of the Royal Statistical Society, Series B, 4, 815-849.
Meulman, J.J. (2003). Prediction and Classification in Nonlinear Data Analysis: Something
old, something new, something borrowed, something blue. Psychometrika, 68, 493-517.
Friedman, J.F. & Meulman, J.J. (2003). Prediction with multiple additive regression trees
with application in epidemiology. Statistics in Medicine, 22, 1365-1381.
Bensmail, H. & Meulman, J.J. (2003). Model-based clustering with noise: Bayesian inference
and information. Journal of Classification, 20, 49-76.
Theunissen, N.C.M., Meulman, J.J., den-Ouden, A.L., Koopman, H.M., Verrips, G.H.,
Verloove-Vanhorick, S.P., & Wit, J.M. (2003). Changes can be studied when the
measurement instrument is different at different time points. Health Services and Outcomes
Research Methodology, 4, 109-126.
Hubert, L. J. , Arabie, P. & Meulman, J.J. (2002). Linear Unidimensional Scaling in the L2Norm: Basic Optimization Methods Using MATLAB. Journal of Classification, 19, 303-328.
Meulman, J.J., Van der Kooij, A., & Babinec, A. (2002). New features of categorical
principal components analysis for complicated data sets, including data mining. In: W. Gaul
& G. Ritter (Eds.), Classification, data analysis, and knowledge organization, (pp. 207-217).
Berlin: Springer Verlag.
Dusseldorp, E. & Meulman, J.J. (2002). Application of data mining tools in the behavioral
sciences. In: J. Meij (Ed.), Dealing with the data flood: mining data, text, and multimedia, (pp.
220-234). The Hague: STT/Beweton Netherlands Study Center for Technology Trends.
Hubert, L.J., Arabie, P., Meulman, J.J. (2001). Dynamic programming in clustering. In: C.A.
Floudas & P.M. Pardalos (Eds.), Encyclopedia of optimization, Volume 1, A-D, (pp. 506513). Dordrecht, The Netherlands: Kluwer Academic Publishers.
Hubert, L.J., Arabie, P., & Meulman, J.J. (2001). Modeling dissimilarity: Generalizing
ultrametric and additive tree representations. British Journal of Mathematical and Statistical
Psychology, 54, 103-123.
Dusseldorp, E. & Meulman, J.J. (2001). Prediction by integration of regression trees and
linear regression with optimal scaling. Methods of Information in Medicine, 40, 403-409.
Meulman, J.J. (2000). Relational data analysis: Discrimination and classification In: W. Gaul
& O. Opitz (Eds.), Classification and Information Processing at the Turn of the Millenium,
(pp. 32-39). Berlin: Springer Verlag.
Zeijl, E, te Poel, Y., du Bois-Reymond, M., Ravesloot, J., & Meulman, J.J. (2000) The role of
parents and peers in the leisure activities of young adolescents, Journal of Leisure Research,
32, 281-302.
Theunissen, N.C.M., den-Ouden, A.L., Meulman, J.J., Koopman, H.M., Verloove-Vanhorick,
S.P., & Wit, J.-M. (2000). Health Status developments in a cohort of pretermchildren, The
Journal of Pediatrics, 147, 534-539.
Hubert, L.J., Meulman, J.J., & Heiser, W.J (2000). Two purposes for matrix factorization: A
historical appraisal. SIAM Review, 42, 68-82.
Haas, M. de, Algera, J.A., van Tuijl, H.F.J.M., & Meulman, J.J. (2000). Macro and microgoal
setting: in search of coherence. Applied Psychology: An International Review, 49, 577-593.
Groenen, P.J.F., Van Os, B.J., & Meulman J.J. (2000). Optimal scaling by length-constrained
alternating nonnegative least squares: an application to distance-based principal coordinate
analysis, Psychometrika, 65, 511-524.
Groenen, P.J.F., Heiser W.J., & Meulman, J.J. (1999). Global optimization in least-squares
multidimensional scaling by distance smoothing. Journal of Classification, 16, 225–254.
Gower, J.C., Meulman, J.J., & Arnold, G.M. Non-metric linear biplots (1999). Journal of
Classification, 16, 181-196.
Dusseldorp, E., Van Elderen, T., Maes, S., Meulman J., & Kraaij, V. (1999). A Meta-Analysis
of Psycho-Educational Programs for Coronary Heart Disease Patients. Health Psychology, 18,
506-519.
Commandeur, J.J.F., Groenen, P.J.F., & Meulman J.J. (1999). A distance-based variety of
nonlinear multivariate analysis, including weights for objects and variables. Psychometrika,
64, 169-186.
Meulman, J.J., (1998). A distance-based biplot for multidimensional scaling of multivariate
data. In: C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.H. Bock & Y. Baba (Eds.), Data
Science, Classification, and Related Methods, pp. 506-517. Tokyo: Springer Verlag.
Meulman, J.J., (1998). A distance-based biplot for multidimensional scaling of multivariate
data. In: C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.H. Bock & Y. Baba (Eds.), Data
Science, Classification, and Related Methods, pp. 506-517. Tokyo: Springer Verlag.
Meulman, J.J., Hubert, L.J. & Heiser, W.J. (1998). The Data Theory Scaling System. In: A.
Rizzi, M. Vichi & H.H. Bock (Eds.), Advances in Data Science and Classification, (pp. 489496). Berlin: Springer Verlag.
Meulman, J.J. (1998). Book review of W.J. Krzanowski and F.H.C. Marriott, Multivariate
Analysis, Part I, Distributions, Ordination and Inference, Journal of Classification, 15, 287293.
Meulman, J.J. (1998). Optimal scaling methods for graphical display of multivariate data. In:
R. Payne & P. Green (Eds.), COMPSTAT 1998 Proceedings in Computational Statistics, (pp.
65-76). Heidelberg: Physica-Verlag.
Hubert, L.J., Arabie, P., & Meulman, J.J. (1998) The representation of symmetric proximity
data: dimensions and classifications. The Computer Journal, 41, 566-577.
Hubert, L.J., Arabie, P., & Meulman, J.J. (1998). Graph-theoretic representation for proximity
matrices through strongly-anti-Robinson or circular-anti-Robinson matrices. Psychometrika,
63, 341-358.
Groenen, P.J.F., Commandeur, J.J.F., & Meulman J.J. (1998). Distance analysis of large data
sets of categorical variables using object weights. Britisch Journal of Mathematical and
Statistical Psychology, 51, 217-232.
Groenen, P.J.F., Heiser, W.J., & Meulman J.J., (1998). City-block scaling: smoothing
strategies for avoiding local minima. In: I. Balderjahn, R. Mathar, & M. Schader, (Eds.),
Classification, Data Analysis and Data Highways (pp. 46-53). Berlin: Springer Verlag.
Bensmail, H. & Meulman, J.J., (1998). MCMC Inference for model-based cluster analysis. In:
A. Rizzi, M. Vichi & H.H. Bock (Eds.), Advances in Data Science and Classification, (pp.
191-196). Berlin: Springer Verlag.
Van der Ham, Th., Meulman, J.J., Van Strien, D.C. and Van Engeland, H. (1997). Empirically
based subgrouping of eating disorders in adolescents: a longitudinal perspective. British
Journal of Psychiatry, 170, 363-368.
Van der Kooij, A.J., & Meulman J.J., (1997). MURALS: Multiple regression and optimal
scaling using alternating least squares. In: W. Bandilla & F. Faulbaum (Eds.), Advances in
Statistical Software, (pp. 99-106). Stuttgart: Lucius & Lucius. Stuttgart: Lucius & Lucius.
Meulman, J.J. & Heiser, W.J., (1997). Graphical display of interaction in multiway
contingency tables by use of homogeneity analysis: the 2 x 2 x 2 x 2 case. In: M. Greenacre &
J. Blasius (Eds.), Visual Display of Categorical Data, pp. 277-296. New York: Academic
Press.
Rietveld, W.J., Boon, M.E. & Meulman, J.J. (1997). Seasonal fluctuations in the cervical
smear detection rates for (pre)malignant changes and for infections. Diagnostic
Cytopathology, 17, 452-455.
Meulman, J.J. (1997). Multivariate data analysis through optimal scoring methods. In:
Bulletin of the International Statistical Institute, Proceedings of the 51th Session of the ISI,
(pp. 247-250). Istanbul: International Statistical Institute.
Hubert, L.J., Arabie, P., Meulman, J.J. (1997). Hierarchical clustering and the construction of
(optimal) ultrametrics using Lp - norms. In: Y. Dodge (Ed.), L1-Statistical Procedures and
Related Topics, (pp. 457-472). Lecture Notes - Monograph Series, Hayward. CA: Institute of
Mathematical Statistics.
Hubert, L.J., Arabie, P., Meulman, J.J. (1997). The construction of globally optimal ordered
partitions. In: B. Mirkin, F.R. McMorris, F.S. Roberts, and A. Rzhetsky (Eds.), Mathematical
Hierarchies and Biology (pp. 299-311). DIMACS Series in Discrete Mathematics and
Theoretical Computer Science. Providence, RI: American Mathematical Society.
Heiser, W.J. & Meulman, J.J. (1997). Nonlinear Multivariate Analysis: Overview and recent
advances. In: M. Ato Garcia & J. A. Lopez Pina (Eds.), IV Simposio de Metodologia de las
Ciencias del Comportamiento (pp. 15-32). Murcia: Servicio de Publicaciones, Universidad.
Heiser, W.J. & Meulman, J.J. (1997). Representation of binary multivariate data by graph
models using the Hamming metric. In: E. Wegman and S. Azen (Eds.), Computing Science
and Statistics, 29(2), (pp. 517-525). Fairfax, VA: Interface Foundation of North America, Inc.
Groenen, P.J.F., Commandeur, J.J.F., & Meulman J.J. (1997). PIONEER: A program for
distance-based multivariate analysis. In: W. Bandilla & F. Faulbaum (Eds.), Advances in
Statistical Software, (pp. 83-90). Stuttgart: Lucius & Lucius.
Meulman, J.J. (1996). Fitting a distance model to homogeneous subsets of variables: Points of
view analysis of categorical data. Journal of Classification, 13, 249-266.
Meulman, J.J., (1995). Review of Elements of Dual Scaling: An Introduction to Practical Data
Analysis, by Shizuhiko Nishisato, Journal of the American Statistical Association, 90, 395396.
Heiser, W.J. & Meulman, J.J. (1995). Nonlinear methods for the analysis of homogeneity and
heterogeneity. In: W.J. Krzanowski (Ed.), Recent Advances in Descriptive Multivariate
Analysis (pp. 51-89). Oxford: Oxford University Press.
Heiser, W.J., & Meulman, J.J. (1994). Homogeneity analysis: exploring the distribution of
variables and their nonlinear relationships. In: M. Greenacre, & J. Blasius (Eds.),
Correspondence Analysis in the Social Sciences: Recent Developments and Applications (pp.
179-209). New York: Academic Press.
Meulman, J.J., & Heiser, W.J. (1993). Nonlinear biplots for nonlinear mappings. In: O. Opitz,
B. Lausen, & R. Klar (Eds), Information and Classification: Concepts, Methods and
Applications (pp. 201-213). Berlin: Springer Verlag.
Gower, J.C., & Meulman, J.J. (1993). The treatment of categorical information in physical
anthropology. International Journal of Anthropology, 8, 43-51.
Meulman, J.J. (1993). Principal coordinates analysis with optimal transformations of the
variables: minimizing the sum of squares of the smallest eigenvalues. British Journal of
Mathematical and Statistical Psychology, 46, 287-300.
Meulman, J.J., & Verboon, P. (1993). Points of view analysis revisited: fitting
multidimensional structures to optimal distance components with cluster restrictions on the
variables. Psychometrika, 58, 7 – 35.
Hillebrand, R., & Meulman, J.J. (1992). Afstand en nabijheid: verhoudingen in de Tweede
Kamer (Distance and proximity: relations in the Second Chamber [of the Dutch Parliament]).
In: J.J.A. Thomassen, M.P.C.M. Van Schendelen, and M.L. Zielonka-Goei (Eds.), De geachte
afgevaardigde... hoe kamerleden denken over het Nederlandse parlement (pp. 98-128).
Muiderberg: Coutinho.
Meulman, J.J. (1992). The integration of multidimensional scaling and multivariate analysis
with optimal transformations. Psychometrika, 57, 539-565.
Meulman, J.J., Zeppa, P., Boon, M. E., & Rietveld, W.J. (1992). Prediction of various grades
of cervical preneoplasia and neoplasia on plastic embedded cytobrush samples: discriminant
analysis with qualitative and quantitative predictors. Analytical and Quantitative Cytology
and Histology, 14, 60-72.
Meulman, J.J. (1991). Principal components analysis using distances, including weights for
variables and dimensions. In: S. Zidak (Ed), Proceedings of DIANA III, international meeting
on discriminant analysis (pp. 178-196). Prague: Czechoslovak Academy of Sciences.
Bolasco, S., Escoufier, Y., & Meulman, J.J. (1989). Symmetric and nonsymmetric approaches
to the analysis of structured data matrices. In: R. Coppi and S. Bolasco (Eds), The analysis of
multiway data matrices (pp. 215-220). Amsterdam: North-Holland.
Meulman, J.J. (1989). Distance analysis in reduced canonical spaces. In: R. Coppi and S.
Bolasco (Eds), The analysis of multiway data matrices (pp. 233-244). Amsterdam: NorthHolland.
Heiser, W.J., & Meulman, J.J. (1989), The approximation of K-subspaces by K other ones in
a reduced common space. In: Bulletin of the International Statistical Institute, Proceedings of
the 47th session of the International Statistical Institute (pp. 430-43). Paris: International
Statistical Institute.
Meulman, J.J., & Heiser, W.J. (1988). Second order regression and distance analysis. In: W.
Gaul and M. Schader (Eds.), Data, expert knowledge and decisions (pp. 368-380). Berlin:
Springer-Verlag.
Meulman, J.J. (1988). OVERALS: Nonlinear generalized canonical analysis. In: A. Di
Ciaccio and G. Bove (Eds.), Multiway '88 software guide (pp. 59-66). Rome: Dipartimento di
Statistica, Probabilità e statistiche Applicate.
Meulman, J.J. (1988). Nonlinear redundancy analysis via distances. In: H.H. Bock (Ed.),
Classification and related methods of data analysis (pp. 515-522). Amsterdam: North-Holland
Publishing Company.
Heiser, W.J., & Meulman, J.J. (1987). Afstandsmodellen voor multivariate analyse (Distance
models for multivariate analysis). In: H.F.M. Crombag, L.J.Th. van der Kamp and C.A.J.
Vlek (Eds.) De Psychologie Voorbij: ontwikkelingen rond model, metriek en methode in de
gedragswetenschappen (pp. 209-235). Lisse: Swets & Zeitlinger.
De Leeuw, J., & Meulman, J.J. (1986). A special Jackknife for multidimensional scaling.
Journal of Classification, 3, 97-112.
De Leeuw, J., & Meulman, J.J. (1986). Principal components analysis and restricted
multidimensional scaling. In: W. Gaul and M. Schader (Eds.), Classification as a tool of
research (pp. 83-96). Amsterdam: North-Holland Publishing Company.
Meulman, J.J., & Heiser, W.J. (1984). Constrained multidimensional scaling: more directions
than dimensions. In: T. Havránek et al. (Eds.), COMPSTAT 1984: Proceedings in
Computational Statistics (pp. 137-142). Vienna: Physica Verlag.
Heiser, W.J., & Meulman, J.J. (1983). Constrained multidimensional scaling, including
confirmation. Applied Psychological Measurement, 7, 381-404.
Heiser, W.J., & Meulman, J.J. (1983). Analyzing rectangular tables by joint and constrained
multidimensional scaling. Journal of Econometrics, 22, 139-167.
Computer Programs for Multivariate Data Analysis
Busing, F. M. T. A, Heiser, W. J., Neufeglise, P., & Meulman, J. J. (2005). PREFSCAL.
SPSS, Inc., Chicago.
Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (2004). MULTIPLE
CORRESPONDENCE (revised and updated version of HOMALS). SPSS, Inc, Chicago.
Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (2001). CATREG, Categorical Multiple
Regression with Optimal Scaling (revised and updated version). SPSS, Inc, Chicago.
Busing, F. M. T. A, Heiser, W. J., Neufeglise, P., & Meulman, J. J. (1999). PROXSCAL.
SPSS, Inc., Chicago.
Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (1999). CATPCA, Categorical Principal
Components Analysis with Optimal Scaling. SPSS, Inc, Chicago.
Groenen, P.J.F., Commandeur, J.J.F., Van Os, B.J., & Meulman, J.J. (1998),. PIONEER,
Distance Based Multivariate Analysis, Data Theory Group, Leiden University.
Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (1997). CORRESPONDENCE,
Correspondence Analysis and More General Biplots, including Constraints. SPSS, Inc,
Chicago.
Van der Kooij, A.J., Neufeglise, P., & Meulman, J.J. (1997). CATREG, Categorical Multiple
Regression with Optimal Scaling. SPSS, Inc, Chicago.
Groenen, P.J.F. & Meulman, J.J. (1995). DIAMOND, Distance Analysis of Multivariate
Ordinal and Nominal Data. Department of Data Theory, Leiden University.
Meulman, J.J. & Heiser, W.J. (1990). CATEGORIES. Optimal scaling programs for
multivariate analysis (HOMALS, PRINCALS, OVERALS, ANACOR). SPSS Inc, Chicago.
Meulman, J.J., Heiser, W.J., & Carroll, J.D. (1982). PREFMAP-3: Metric and nonmetric
external unfolding using vector and ideal point models. Bell Telephone Laboratories, Murray
Hill, NJ.
Meulman. J.J. & Gifi, A. (1981). PRIMALS: One-dimensional homogeneity analysis,
including principal components analysis with optimal scaling. Department of Data Theory,
Leiden, 1981.