Pharmaceutical Product Market Share Estimation: Full
... pre- and post-entry period are not very informative. If the goal of the analysis is to find any changes in the competitive structure or marketing instruments associated with new brand introduction, the separate models should be used. In this model specification, all model parameters are allowed to c ...
... pre- and post-entry period are not very informative. If the goal of the analysis is to find any changes in the competitive structure or marketing instruments associated with new brand introduction, the separate models should be used. In this model specification, all model parameters are allowed to c ...
Decision Process Evolution in Customer Channel Choice
... process—which in turn prompts the question of why it is being learned. There are at least three reasons: 1. Motivation and ability: Motivation and ability are prerequisites to learning (Bettman and Park 1980; Hoch and Deighton 1989; MacInnis, Moorman, and Jaworski 1991). These factors are salient wh ...
... process—which in turn prompts the question of why it is being learned. There are at least three reasons: 1. Motivation and ability: Motivation and ability are prerequisites to learning (Bettman and Park 1980; Hoch and Deighton 1989; MacInnis, Moorman, and Jaworski 1991). These factors are salient wh ...
Can Financial Statement Auditors Detect More Fraud? How Can
... • Many firms believe that going beyond what GAAS requires exposes them to liability • Fraud detection procedures can be time‐consuming and expensive; audits are viewed as a commodity—i.e. why pay more for an audit than you have to; so price competition makes extra procedures commercially impract ...
... • Many firms believe that going beyond what GAAS requires exposes them to liability • Fraud detection procedures can be time‐consuming and expensive; audits are viewed as a commodity—i.e. why pay more for an audit than you have to; so price competition makes extra procedures commercially impract ...
Kernel-Based Manifold Learning for Statistical Analysis of Diffusion
... desiderata: (1) it should obtain a good characterization of the statistical distribution of the tensors under consideration at a given voxel, which typically lie on a non-linear submanifold of 6 , and (2) it should find an optimal way to identify statistical differences between two groups of tensor m ...
... desiderata: (1) it should obtain a good characterization of the statistical distribution of the tensors under consideration at a given voxel, which typically lie on a non-linear submanifold of 6 , and (2) it should find an optimal way to identify statistical differences between two groups of tensor m ...
Chapter 5 Preliminaries on Semiparametric Theory and Missing Data Problem
... variates, V , are available, then, they can be used as a surrogate variables in order to gain efficiency. The methodology is also developed for longitudinal data and is presented under a monotone missing data pattern. However, some extensions to arbitrary missing data patterns are also studied. In p ...
... variates, V , are available, then, they can be used as a surrogate variables in order to gain efficiency. The methodology is also developed for longitudinal data and is presented under a monotone missing data pattern. However, some extensions to arbitrary missing data patterns are also studied. In p ...
Clinical Trials Design, Monitoring, and Analysis of Clinical Trials
... • If we perform statistical tests, it is imperative that we not use overly conservative procedures ...
... • If we perform statistical tests, it is imperative that we not use overly conservative procedures ...
Data Exploration and Discovery: A New Approach to
... as customer sentiment and satisfaction) into the analysis process. Data discovery helps analyze customer behavior and sentiment by bringing together customer data from a variety of difference sources for processing by a variety of more sophisticated analytic capabilities that those offered by OLAP. ...
... as customer sentiment and satisfaction) into the analysis process. Data discovery helps analyze customer behavior and sentiment by bringing together customer data from a variety of difference sources for processing by a variety of more sophisticated analytic capabilities that those offered by OLAP. ...
Some Applications of Data Mining Tools in Database Marketing
... used by these customers are also examined. Ttests are conducted on the means of the selected variables of the customer and non-customer ofEC under the null hypothesis that the difference in the value of the means is not significantly different from zero. This null hypothesis is rejected at a 1% sign ...
... used by these customers are also examined. Ttests are conducted on the means of the selected variables of the customer and non-customer ofEC under the null hypothesis that the difference in the value of the means is not significantly different from zero. This null hypothesis is rejected at a 1% sign ...
PDF
... predict and control. Companies require knowledge of not only the means of sales amount time series but also their distributions and fluctuations. For example, to determine the effectiveness of a sales promotion, a company needs information about statistical distributions when there is no promotion [ ...
... predict and control. Companies require knowledge of not only the means of sales amount time series but also their distributions and fluctuations. For example, to determine the effectiveness of a sales promotion, a company needs information about statistical distributions when there is no promotion [ ...
Real Time Location Prediction with Taxi
... UberPool), Ola (i.e. OLA Share), etc. provide ride-sharing as well. Tran (2015) worked on the real-time ride-sharing schedule and dispatch problem by using the location information of the passengers who requested a pickup and the location of drivers in the near-by region. Ichoua et al. (2000) worked ...
... UberPool), Ola (i.e. OLA Share), etc. provide ride-sharing as well. Tran (2015) worked on the real-time ride-sharing schedule and dispatch problem by using the location information of the passengers who requested a pickup and the location of drivers in the near-by region. Ichoua et al. (2000) worked ...
An Active Approach to Characterizing Dynamic Dependencies
... – correlates observed failures/degradations across components – typically passive » no perturbation to system beyond instrumentation ...
... – correlates observed failures/degradations across components – typically passive » no perturbation to system beyond instrumentation ...
decision analysis
... Stochastic. Activity completion times, both normal and expedited, are uncertain and subject to variation. Activity expediting costs are uncertain. The number of activities and their precedence relationships might change before the project is completed due to a project ...
... Stochastic. Activity completion times, both normal and expedited, are uncertain and subject to variation. Activity expediting costs are uncertain. The number of activities and their precedence relationships might change before the project is completed due to a project ...
brand choice models - Tippie College of Business
... The theory of brand choice is one of the fundamental elements of marketing science. Virtually all decisions made by marketing managers involve assumptions – explicit or implicit – about how consumers make purchase decisions and how strategic marketing variables (such as price, advertising and distri ...
... The theory of brand choice is one of the fundamental elements of marketing science. Virtually all decisions made by marketing managers involve assumptions – explicit or implicit – about how consumers make purchase decisions and how strategic marketing variables (such as price, advertising and distri ...
CONCAT.SAS: A Macro for Concatenation of Grouped Multi-Record Narrative Text
... This protects the integrity of string search and text-based data mining efforts. Since the underlying data is in DB2 format, it was felt that a native DB2 solution would be ideal. However, after consulting BART's DB2 programming staff, it was found that DB2 did not provide a direct means for accompl ...
... This protects the integrity of string search and text-based data mining efforts. Since the underlying data is in DB2 format, it was felt that a native DB2 solution would be ideal. However, after consulting BART's DB2 programming staff, it was found that DB2 did not provide a direct means for accompl ...
document
... • Standard (binomial) estimate of survival = 0.850 (95% c.i. 0.621 - 0.968) • Bayesian estimate of survival = 0.797 (95% c.i. 0.637 - 0.921) ...
... • Standard (binomial) estimate of survival = 0.850 (95% c.i. 0.621 - 0.968) • Bayesian estimate of survival = 0.797 (95% c.i. 0.637 - 0.921) ...
Use of Tax Data in Sample Surveys - American Statistical Association
... Distance function matching ...
... Distance function matching ...
Learning Dependencies between Case Frame Slots
... form of the Bayesian network (Pearl, 1988).) It is not difficult to see that there are 7 and only 7 such representations for the joint distribution P (X1 , X2 , X3 ) (See Figure 3), disregarding the actual numerical values of the probabilistic parameters. Now we turn to the problem of how to select ...
... form of the Bayesian network (Pearl, 1988).) It is not difficult to see that there are 7 and only 7 such representations for the joint distribution P (X1 , X2 , X3 ) (See Figure 3), disregarding the actual numerical values of the probabilistic parameters. Now we turn to the problem of how to select ...
Optimizing the F-Measure in Multi-Label Classification
... binary label, like in conventional classification, to predicting a vector of such labels gives rise to a number of theoretical challenges; this includes the possibility to model statistical dependencies between different class labels as well as to define and minimize appropriate loss functions. A la ...
... binary label, like in conventional classification, to predicting a vector of such labels gives rise to a number of theoretical challenges; this includes the possibility to model statistical dependencies between different class labels as well as to define and minimize appropriate loss functions. A la ...
Mathematical Programming for Data Mining: Formulations and
... data mining system build a model for distinguishing one class from another. The system can then apply the extracted classifier to search the full database for events of interest. This is typically more feasible because examples are usually easily available, and humans find it natural to interact at ...
... data mining system build a model for distinguishing one class from another. The system can then apply the extracted classifier to search the full database for events of interest. This is typically more feasible because examples are usually easily available, and humans find it natural to interact at ...
MDS Maps for Product Attributes and Market Response: An
... able to maintain well-defined preferences for each one. Instead, they probably form preferences for the attributes describing each item (brand name, size, formulation, etc.) to derive their overall preference for an SKU, which is a much more manageable task. Fader and Hardie cite theoretical justifica ...
... able to maintain well-defined preferences for each one. Instead, they probably form preferences for the attributes describing each item (brand name, size, formulation, etc.) to derive their overall preference for an SKU, which is a much more manageable task. Fader and Hardie cite theoretical justifica ...
Lec. notes
... • Entity vs. attribute, entity vs. relationship, binary or nary relationship, whether or not to use ISA hierarchies • Ensuring good database design: resulting relational schema should be analyzed and refined further. FD information and normalization techniques are especially useful. ...
... • Entity vs. attribute, entity vs. relationship, binary or nary relationship, whether or not to use ISA hierarchies • Ensuring good database design: resulting relational schema should be analyzed and refined further. FD information and normalization techniques are especially useful. ...
Integrated Modeling Systems - UCLA Anderson School of
... Another example of this kind of integration occurs when two echelons of a distribution system are first modeled separately but in a similar way, and then the two models are combined into one overall multi-echelon model. Whereas the first pair of examples result in a new specific model within the ori ...
... Another example of this kind of integration occurs when two echelons of a distribution system are first modeled separately but in a similar way, and then the two models are combined into one overall multi-echelon model. Whereas the first pair of examples result in a new specific model within the ori ...
Selecting the Best Curve Fit in SoftMax Pro 7 Software | Molecular
... number of parameter describing the curve. As sample size increases, the last term of the AICc approaches zero and the AICc tends to yield the same conclusions as the AIC5. The AIC and AICc take into account both the statistical goodness of the fit and the number of parameters that have to be estimat ...
... number of parameter describing the curve. As sample size increases, the last term of the AICc approaches zero and the AICc tends to yield the same conclusions as the AIC5. The AIC and AICc take into account both the statistical goodness of the fit and the number of parameters that have to be estimat ...
model-based engineering for laser weapons
... 2010]. To be effective, however, MBE requires robust underlying modeling and simulation technologies capable of modeling all the pertinent systems, subsystems, components, effects, and interactions at any level of fidelity that may be required in order to support crucial design decisions at any poin ...
... 2010]. To be effective, however, MBE requires robust underlying modeling and simulation technologies capable of modeling all the pertinent systems, subsystems, components, effects, and interactions at any level of fidelity that may be required in order to support crucial design decisions at any poin ...
Preference reversal or limited sampling? Maybe túngara frogs are
... Our contribution in this paper is to demonstrate that revealed preference and standard welfare analysis can be applied to context-dependent choice data. We apply the Bayesian probit model (Natenzon, 2015) to the experimental dataset on frog mating selection from Lea and Ryan (2015). We identify sta ...
... Our contribution in this paper is to demonstrate that revealed preference and standard welfare analysis can be applied to context-dependent choice data. We apply the Bayesian probit model (Natenzon, 2015) to the experimental dataset on frog mating selection from Lea and Ryan (2015). We identify sta ...