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RNDr, Milan Stehlík PhD Publications for 3 years: 2006, 2007, 2008: In journals: (1) Stehlík M. (2008), Homogeneity and Scale Testing of Generalized Gamma Distribution, Reliability Engineering & System Safety, Elsevier (in press), doi:10.1016/j.ress.2008.03.012 (2) Stehlík M. and Müller W.G. (2008), Fisher information in the design of computer simulation experiments, accepted to JOURNAL OF PHYSICS: CONFERENCE SERIES (3) Stehlík M., Rodríguez-Díaz J.M., Müller W.G. and López-Fidalgo J. (2008) Optimal allocation of bioassays in the case of parametrized covariance functions: an application in lung's retention of radioactive particles, Test 17: 56—68. (4) J. López-Fidalgo, R. Martín-Martín and Stehlík M. (2008) Marginally Restricted DOptimal Designs for correlated observations, Journal of Applied Statistics, Vol. 35, No. 6, 1–16. (5) Svihra, J; Stehlík, M; Luptak, J; Kliment (2007) The meta-analysis of placebo response in randomized placebo-controlled clinical trials in treatment of overactive bladder J Source: EUROPEAN UROLOGY SUPPLEMENTS 6 (2): 203-203 (6) Potocký R. and Stehlík M. (2007), Stochastic models in insurance and finance with respect to Basel II, Journal of Applied Mathematics, Statistics and informatics, 3, (2007), No.2, p. 237-245 (7) Kiselák J. and Stehlík M. (2007), Equidistant D-optimal designs for parameters of Ornstein-Uhlenbeck process, Statistics and Probability Letters, doi:10.1016/j.spl.2007.12.012 (in press) (8) Stehlík M. (2007). Exact testing of the scale with the missing time-to-failure information, Communications on Dependability and Quality Management in Engineering (CDQM), 10(2): 124-129. (9) Stehlík M. (2006). Properties of stochastic representation of Poisson equation solution, Journal of Applied Mathematics, Statistics and Informatics, Volume 2, Number 2, 149-153. (10) Stehlík M. (2006). Exact likelihood ratio scale and homogeneity testing of some loss processes. Statistics and Probability Letters, 76, 19-26. In proceedings: (11) Strelec L. and Stehlík M. (2008) Some properties of robust tests of normality and their applications, In Firma a konkurencní prostedí \ 2008 - 1. part. Brno: MSD, spol. s r. o., 2008, s. 428--436. ISBN 978-80-7392-020-3. (In Czech) (12) R. Potocký and Stehlík M. (2007) Stochastic models in insurance and finance with respect to Basel II, In Proceedings, APV 2007, Eds: Pipiska M, Hornik M, p. 154162. (13) Stehlík M. (2007) D-optimal designs and equidistant designs for stationary processes, in mODa 8-Advances in Model Oriented Design and Analysis, LópezFidalgo, J., Rodríguez-Díaz, J. and Torsney, B. (Eds.), Physica Verlag, 205-211. (14) Stehlík M. "Stochastic Modeling of Nonlinear Systems", General Seminar of Mathematics, Vol.30-32, Acad. years 2004-2006, University of Patras, Greece, p. 167-185. (15) Stehlík M. (2006). On stochastic representation for Dirichlet problem solution, MendelNet 2006, ISBN 80-6851-62-1, p.1-7. (16) Stehlík M. (2006). Applied Homogeneity and Scale Testing of generalized Gamma distribution, Safety and Reliability for Managing Risk, Guedes Soares \& Zio (eds), Taylor \& Francis Group, London, p. 965-970. (17) Cerneková K. and Stehlík M. (2006). D-optimal spatial designs recovering of Dark Age Crete, Proceedings of the International Workshop on Spatio-Temporal Modeling (METMA3),Pamplona, Spain, 27-29. September 2006, Ed.: Militino, A.F., Ugarte, M.D., Gonz\'ales-Ramajo, B. and Goicoa, T., 105-108. Research Reports: (18) Balakrishnan N. and Stehlík M. (2008), Exact likelihood ratio test of the scale for censored Weibull sample, IFAS res. report Nr. 35, (also submitted to journal) (19) Stehlík M., Potocky R., Waldl H. and Fabian Z. (2008) On the favourable estimation of fitting heavy tailed data, IFAS res. Report Nr. 32, (also submitted to journal) (20) Müller W.G. and Stehlík M. (2007), Issues in the Optimal Design of Computer Simulation Experiments, IFAS Res. Rep. Nr. 26, (also submitted to journal) (21) Stehlík M. (2006). Some Properties of Exchange Design Algorithms Under Correlation, Working Paper Nr. 28. WU Wien: Research Report Series/ Department of Statistics and Mathematics.