Michel Wedel

University of Maryland - Robert H. Smith School of Business, Marketing Department

Pepsico Professor of Consumer Science

College Park, MD 20742

United States

http://www.rhsmith.umd.edu/marketing/faculty/wedel.html

University of Groningen - Faculty of Economics and Business

Professor

Postbus 72

9700 AB Groningen

Netherlands

SCHOLARLY PAPERS

50

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CITATIONS
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55

Scholarly Papers (50)

1.

Structural Modeling in Marketing: Review and Assessment

Number of pages: 28 Posted: 13 Sep 2004
University of Chicago, University of California, Berkeley - Marketing Group, University of California, Los Angeles (UCLA) - Anderson School of Management and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 1,848 (8,121)
Citation 28

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Structural models, dynamic models, endogeneity

2.

Introduction to the Special Issue on Market Segmentation

Intern. J. of Research in Marketing 19 (2002) 181–183
Number of pages: 3 Posted: 14 Feb 2014
Michel Wedel and Wagner A. Kamakura
University of Maryland - Robert H. Smith School of Business, Marketing Department and Rice University
Downloads 1,183 (16,592)
Citation 5

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3.

A Monte Carlo Evaluation of Maximum Likelihood Multidimensional Scaling Methods

Number of pages: 49 Posted: 10 Dec 1996
Tammo H.A. Bijmolt and Michel Wedel
University of Groningen - Department of Marketing & Marketing Research and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 410 (69,772)

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4.

The 'No-Choice' Alternative in Conjoint Choice Experiments

International Journal of Market Research Vol. 43 Quarter 1, 2001
Number of pages: 14 Posted: 14 Feb 2014
Rinus Haaijer, Wagner A. Kamakura and Michel Wedel
University of Groningen, Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 301 (99,179)
Citation 13

Abstract:

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5.

Split Questionnaire Design

Ross School of Business Paper No. 966
Number of pages: 43 Posted: 23 Jun 2006
Feray Adiguzel and Michel Wedel
Erasmus University Rotterdam (EUR) and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 287 (104,502)
Citation 1

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split questionnaire, questionnaire design, Modified Federov Algorithm

6.

Differentiated Bayesian Conjoint Choice Designs

ERIM Report Series Reference No. ERS-2003-016-MKT
Number of pages: 24 Posted: 28 Mar 2006
Zsolt Sándor and Michel Wedel
Erasmus University Rotterdam (EUR) - Erasmus School of Economics (ESE) and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 202 (148,603)
Citation 15

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experiments, consumer preferences, discrete choice, multinomial logit, estimator efficiency

7.

A Review of Recent Developments in Latent Class Regression Models

Advanced Methods of Marketing Research, R. Bagozzi (Ed.), Blackwell Pub., 352-388, 1994
Number of pages: 37 Posted: 06 Jun 2016
Michel Wedel and Wayne S. DeSarbo
University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University
Downloads 174 (170,231)
Citation 5

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8.

Modeling Unobserved Consideration Sets for Household Panel Data

ERIM Report Series Reference No. ERS-2000-42-MKT
Number of pages: 49 Posted: 26 Aug 2006
Carnegie Mellon University - David A. Tepper School of Business, Erasmus University Rotterdam (EUR) - Department of Econometrics, Tilburg University, CentER, Erasmus University Rotterdam (EUR) - Department of Econometrics and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 169 (174,660)
Citation 8

Abstract:

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Consideration, choice, probit models

9.

Choice Models and Customer Relationship Management

Kamakura, Wagner A., Mela, Carl F., Ansari, Asim, Bodapati, Anand V., Fader, Peter, Iyengar, Raghuram, Naik, Prasad A. , Neslin, Scott, Sun, Baohong, Verhoef, Peter C., Wedel, Michel and Wilcox, Ronald T., Choice Models and Customer Relationship Management (2005). Marketing Letters 16:3/4, 279-291
Number of pages: 13 Posted: 12 Feb 2014
Rice University, Duke University - Fuqua School of Business, Columbia Business School - Marketing, University of California, Los Angeles (UCLA) - Anderson School of Management, University of Pennsylvania - Marketing Department, University of Pennsylvania - Marketing Department, University of California, Davis, Dartmouth College - Tuck School of Business, Carnegie Mellon University - David A. Tepper School of Business, University of Groningen - Department of Marketing & Marketing Research, University of Maryland - Robert H. Smith School of Business, Marketing Department and University of Virginia - Darden School of Business
Downloads 121 (228,939)
Citation 2

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customer relationship management, direct marketing

10.

Factor Analysis and Missing Data

Journal of Marketing Research, Vol. 37, November 2000
Number of pages: 9 Posted: 15 Feb 2014
Wagner A. Kamakura and Michel Wedel
Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 69 (327,891)
Citation 4

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11.

Concomitant Variable Latent Class Models for Conjoint Analysis

Kamakura, Wagner A., Wedel, Michel and Agrawal, Jagdish, Concomitant Variable Latent Class Models for Conjoint Analysis, International Journal of Research in Marketing, 11 (1994), Robert H. Smith School Research Paper No. RHS 2424863
Number of pages: 14 Posted: 14 Apr 2014
Rice University, University of Maryland - Robert H. Smith School of Business, Marketing Department and California State University, East Bay
Downloads 59 (355,300)
Citation 8

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12.

Cross-Selling Through Database Marketing: A Mixed Data Factor Analyzer for Data Augmentation and Prediction

Intern. J. of Research in Marketing 20 (2003) 45-65
Number of pages: 21 Posted: 14 Feb 2014
Rice University, University of Maryland - Robert H. Smith School of Business, Marketing Department, University of Pittsburgh and University of Sao Paulo (USP)
Downloads 56 (364,426)
Citation 15

Abstract:

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Database marketing,Cross-selling,Customer relationship management

13.

Statistical Data Fusion for Cross-Tabulation

Kamakura, Wagner A. and Wedel, Michel, Statistical Data Fusion for Cross-Tabulation, Journal of Marketing Research, Vol. 34, No. 4, pp 485-498, 1997, Robert H. Smith School Research Paper No. 2404511
Number of pages: 15 Posted: 06 Mar 2014
Wagner A. Kamakura and Michel Wedel
Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 53 (373,795)
Citation 1

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14.

Marketing Data, Models and Decisions

Intern. J. of Research in Marketing 17 2000. 203-208
Number of pages: 6 Posted: 15 Feb 2014
University of Maryland - Robert H. Smith School of Business, Marketing Department, Rice University and Northwestern University
Downloads 45 (400,832)

Abstract:

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Mixture models, Hierarchical Bayes models, Soft data, Transaction databases, Integrated marketing models

15.

Exploratory Tobit Factor Analysis for Multivariate Censored Data

Wagner A. Kamakura & Michel Wedel (2001): Exploratory Tobit Factor Analysis for Multivariate Censored Data, Multivariate Behavioral Research, 36:1, 53-82
Number of pages: 32 Posted: 14 Feb 2014
Wagner A. Kamakura and Michel Wedel
Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 41 (415,463)
Citation 2

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16.

Implications for Asymmetry, Nonproportionality, and Heterogeneity in Brand Switching from Piece-Wise Exponential Mixture Hazard Models

Journal of Marketing Research, Vol. 32, November 1995
Number of pages: 6 Posted: 23 Mar 2014
University of Maryland - Robert H. Smith School of Business, Marketing Department, Rice University, Pennsylvania State University and University of Texas at Austin - Department of Marketing
Downloads 35 (439,540)
Citation 6

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17.

Multi-Index Binary Response Analysis of Large Data Sets

Journal of Business and Economic Statistics, Forthcoming, Robert H. Smith School Research Paper
Number of pages: 16 Posted: 12 Feb 2014
University of California, Davis, University of Maryland - Robert H. Smith School of Business, Marketing Department and Rice University
Downloads 33 (447,909)
Citation 2

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Customer relationship marketing, Discrete choice, Factor model, Inverse regression, Semiparametric estimation, Sliced average variance estimation

18.

Mixture Regression Models

International Series in Quantitative Marketing, Volume 8, Chapter on Market Segmentation pp 101-124
Number of pages: 9 Posted: 13 Jun 2016
Michel Wedel and Wayne S. DeSarbo
University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University
Downloads 26 (481,774)

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19.

Challenges and Opportunities in High-Dimensional Choice Data Analyses

Marketing Letters, Vol. 19, No. 3/4, Seventh Tri-Annual Choice Symposium (December 2008), pp. 201-213
Number of pages: 14 Posted: 24 Jun 2014
University of California, Davis, University of Maryland - Robert H. Smith School of Business, Marketing Department, Polimetrix Inc., University of California, Los Angeles (UCLA) - Anderson School of Management, University of Pennsylvania - Marketing Department, Rice University, IBM Research - Almaden Research Center, University of Michigan, Stephen M. Ross School of Business, Columbia University - Department of Statistics and Carnegie Mellon University - Tepper School of Business
Downloads 26 (481,774)
Citation 3

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20.

Life-Style Segmentation with Tailored Interviewing

Journal of Marketing Research, Vol. 32, 1995
Number of pages: 10 Posted: 23 Mar 2014
Wagner A. Kamakura and Michel Wedel
Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 25 (487,241)
Citation 1

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21.

Modeling Large Data Sets in Marketing

Statistica Neerlandica (1998) Vol. 52, nr. 3, p. 303
Number of pages: 22 Posted: 15 Feb 2014
University of North Carolina Kenan-Flagler Business School, Harvard Business School, Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 23 (498,233)
Citation 3

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response models, single source data, customer transaction data

22.

An Empirical Bayes Procedure for Improving Individual-Level Estimates and Predictions from Finite Mixtures of Multinomial Logit Models

Journal of Business & Economic Statistics; January 2004; 22, 1; p. 121
Number of pages: 5 Posted: 14 Feb 2014
Wagner A. Kamakura and Michel Wedel
Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 22 (503,939)
Citation 1

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Finite mixtures,Multinomial logit, Random utility models

23.

Identifying Innovators for the Cross-Selling of New Products

Management Science, Vol. 50, No. 8, August 2004, pp. 1120-1133
Number of pages: 14 Posted: 14 Feb 2014
Wagner A. Kamakura and Michel Wedel
Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 20 (515,335)
Citation 8

Abstract:

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database marketing, customer relationship management, hazard model, simulated maximum likelihood

24.

Discrete and Continuous Representations of Unobserved Heterogeneity in Choice Modeling

Marketing Letters 10:3 (1999): 219-232
Number of pages: 15 Posted: 15 Feb 2014
University of Maryland - Robert H. Smith School of Business, Marketing Department, Rice University, University of Wisconsin - Madison - Department of Marketing, ESSEC Business School, Hong Kong University of Science & Technology (HKUST) - Department of Marketing, affiliation not provided to SSRN, Sawtooth Software, University of Michigan, Stephen M. Ross School of Business, Dartmouth College - Tuck School of Business and Aalborg University - Faculty of Social Sciences
Downloads 17 (532,825)
Citation 8

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Mixing Distributions, Multinomial Logit, Multinomial Probit, Markov-Chain Monte Carlo, Simulated Likelihood

25.

Factor Models for Multivariate Count Data

Journal of Multivariate Analysis 87 (2003) 356–369
Number of pages: 14 Posted: 26 Apr 2014
University of Maryland - Robert H. Smith School of Business, Marketing Department, Northwestern University and Rice University
Downloads 16 (538,472)
Citation 1

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Poisson distribution, Simulated likelihood, Link function

26.

Response Latencies in the Analysis of Conjoint Choice Experiments

Journal of Marketing Research, Vol. 37, 2000
Number of pages: 7 Posted: 15 Feb 2014
Rinus Haaijer, Wagner A. Kamakura and Michel Wedel
University of Groningen, Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 16 (538,472)
Citation 1

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27.

Applications of Multivariate Latent Variable Models in Marketing

International Series in Quantitative Marketing Volume 14, Chapter on Marketing Research and Modeling: Progress and Prospects, pp 43-68
Number of pages: 26 Posted: 11 Jun 2016
Pennsylvania State University, Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 15 (544,400)

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28.

Latent Class Metric Conjoint Analysis

Marketing Letters, Volume 3, Issue 3, pp 273-288 (1992)
Number of pages: 16 Posted: 04 Jun 2016
Pennsylvania State University, University of Maryland - Robert H. Smith School of Business, Marketing Department, Microsoft Corporation and University of Michigan, Stephen M. Ross School of Business
Downloads 13 (556,281)
Citation 12

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Conjoint Analysis, Mixtures of Distributions, Marketing Research, E-M Algorithm, Remote Entry Devices

29.

Factor Analysis with (Mixed) Observed and Latent Variables in the Exponential Family

PSYCHOMETRIKA - VOL. 66, NO. 4, 515–530, DECEMBER 2001
Number of pages: 16 Posted: 14 Feb 2014
Michel Wedel and Wagner A. Kamakura
University of Maryland - Robert H. Smith School of Business, Marketing Department and Rice University
Downloads 9 (580,876)
Citation 14

Abstract:

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factor model, simulated likelihood, latent variable model

30.

Latent Structure Regression

The Handbook of Marketing Research: Uses, Misuses, and Future Advances, Rajiv Grover, Marco Vriens (eds.), Chapter 19, pp 394-417, 2006
Number of pages: 24 Posted: 11 Jun 2016
Pennsylvania State University, Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 8 (587,106)
Citation 1

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31.

List Augmentation with Model Based Multiple Imputation: A Case Study Using a Mixed-Outcome Factor Model

Statistica Neerlandica (2003) Vol. 57, nr. 1, pp. 46–57
Number of pages: 12 Posted: 14 Feb 2014
Wagner A. Kamakura and Michel Wedel
Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 7 (593,432)
Citation 1

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factor analysis, simulated likelihood, multiple imputation

32.

The Structure of Self-Reported Emotional Experiences: A Mixed-Effects Poisson Factor Model

British Journal of Mathematical and Statistical Psychology (2003), 56, 215–229
Number of pages: 15 Posted: 14 Feb 2014
Northwestern University, Rice University and University of Maryland - Robert H. Smith School of Business, Marketing Department
Downloads 7 (593,432)

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33.

A Spatial Interaction Model for Deriving Joint Space Maps of Bundle Compositions and Market Segments from Pick-Any/J Data: An Application to New Product Options

Marketing Letters, Volume 7, Issue 2, pp 131-145
Number of pages: 15 Posted: 08 Jun 2016
Pennsylvania State University, University of Michigan, Stephen M. Ross School of Business, University of Maryland - Robert H. Smith School of Business, Marketing Department and University of Groningen - Department of Marketing & Marketing Research
Downloads 5 (606,495)

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34.

Video Content Marketing: The Making of Clips

Journal of Marketing, Forthcoming
Posted: 23 Jun 2018
Independent, Santa Clara University, Harvard Business School and University of Maryland - Robert H. Smith School of Business, Marketing Department

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Video Content Marketing, Trailers, Clips, Emotions, Facial-Expression Tracking

35.

Investigating Consumer Response to Repeated Product Failures: The Impact of Crashes of a Mobile Shopping App

Posted: 14 Apr 2017 Last Revised: 16 Jul 2018
Savannah Wei Shi, Kirthi Kalyanam and Michel Wedel
Santa Clara University, Santa Clara University and University of Maryland - Robert H. Smith School of Business, Marketing Department

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Mobile Apps, Mobile Commerce, Software (App) Crash, App Engagement, Page-views, CPM, Releasing Strategy, Software as a Service (SaaS)

36.

Information Acquisition During Online Decision-Making: A Model-Based Exploration Using Eye-Tracking Data

Management Science, 2013, 59(5), 1009-1026
Posted: 14 Apr 2017
Santa Clara University, University of Maryland - Robert H. Smith School of Business, Marketing Department and Tilburg University, CentER

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process data; online choice; hierarchical hidden Markov model; eye tracking; information acquisition; gaze cascade; comparison websites

37.

The Spatial Representation of Market Information

Marketing Science, Vol. 20, No. 4, pp. 426-441, 2001
Posted: 13 Jun 2016
Pennsylvania State University, McKinsey & Co. Inc., University of Maryland - Robert H. Smith School of Business, Marketing Department and Indiana University - Kelley School of Business - Department of Marketing

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Spatial Models, Market Segmentation, Latent Structure Analysis, Maximum Likelihood Estimation, Ethical Drugs

38.

Market Segment Derivation and Profiling Via a Finite Mixture Model Framework

Marketing Letters, Volume 13, Issue 1, pp 17-25, 2002
Posted: 13 Jun 2016
Michel Wedel and Wayne S. DeSarbo
University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University

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finite mixture models, market segmentation, concomitant variables, customer satisfaction

39.

Mixtures of (Constrained) Ultrametric Trees

Psychometrika, Volume 63, Issue 4, pp 419-443
Posted: 11 Jun 2016
Michel Wedel and Wayne S. DeSarbo
University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University

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hierarchical clustering, finite mixtures, ultrametric trees, maximum likelihood, constrained estimation, latent class analysis

40.

Judgments of Brand Similarity

International Journal of Research in Marketing, Volume 15, Issue 3, Pages 249–268
Posted: 11 Jun 2016
University of Groningen - Department of Marketing & Marketing Research, University of Maryland - Robert H. Smith School of Business, Marketing Department, Tilburg University, CentER and Pennsylvania State University

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Similarity judgments, Judgment process, Brands, Familiarity, Presentation format, Serial position

41.

A Bayesian Approach to the Spatial Representation of Market Structure from Consumer Choice Data

European Journal of Operational Research, Volume 111, Issue 2, Pages 285–305
Posted: 11 Jun 2016
Pennsylvania State University, University of Groningen - Department of Marketing & Marketing Research, University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University

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Multidimensional scaling, Context effects, Bayesian analysis, Choice models, Competitive market structure

42.

A Multidimensional Scaling Model Accommodating Differential Stimulus Familiarity

Multivariate Behavioral Research, Vol. 33, Iss. 1, pp. 41-63, 1998
Posted: 09 Jun 2016
University of Groningen - Department of Marketing & Marketing Research, Pennsylvania State University and University of Maryland - Robert H. Smith School of Business, Marketing Department

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43.

Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants

Marketing Letters, Volume 8, Issue 3, pp 335-348, 1997
Posted: 09 Jun 2016
Pennsylvania State University, Columbia Business School - Marketing, University of Chicago, Goldman, Sachs & Co., Columbia Business School - Marketing, Sawtooth Software, Rice University, University of Michigan, Stephen M. Ross School of Business, Carnegie Mellon University - David A. Tepper School of Business and University of Maryland - Robert H. Smith School of Business, Marketing Department

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Heterogeneity, latent structure models, cluster-wise regression, random coefficients models, compound distributions

44.

A Latent Class Binomial Logit Methodology for the Analysis of Paired Comparison Choice Data: An Application Reinvestigating the Determinants of Perceived Risk

Decision Sciences, Volume 24, Issue 6, pages 1157–1170, 1993
Posted: 09 Jun 2016
Michel Wedel and Wayne S. DeSarbo
University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University

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Market Segmentation, Risk & Uncertainty, Statistical Techniques

45.

An Exponential-Family Multidimensional Scaling Mixture Methodology

Journal of Business & Economic Statistics, Vol. 14, No. 4, pp. 447-459
Posted: 08 Jun 2016
Michel Wedel and Wayne S. DeSarbo
University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University

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Concomitant variable model, EM algorithm, Maximum likelihood, Unfolding

46.

On Estimating Finite Mixtures of Multivariate Regression and Simultaneous Equation Models

Structural Equation Modeling, Volume 3, Issue 3, pp. 266-289
Posted: 08 Jun 2016
Columbia Business School - Marketing, University of Michigan, Stephen M. Ross School of Business, Pennsylvania State University and University of Maryland - Robert H. Smith School of Business, Marketing Department

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47.

Deriving Joint Space Maps of Bundle Compositions and Market Segments: An Application to New Product Options

Marketing Science Institute Technical Working Paper, Report No. 96-122
Posted: 08 Jun 2016
Pennsylvania State University, University of Michigan, Stephen M. Ross School of Business, University of Maryland - Robert H. Smith School of Business, Marketing Department and University of Groningen - Department of Marketing & Marketing Research

Abstract:

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48.

A Mixture Likelihood Approach for Generalized Linear Models

Journal of Classification, Volume 12, Issue 1, pp 21-55
Number of pages: 35 Posted: 08 Jun 2016
Michel Wedel and Wayne S. DeSarbo
University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University
Downloads 0 (661,936)
Citation 15

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Mixture models, Generalized linear models, EM algorithm, Maximum likelihood estimation

49.

A Latent Class Poisson Regression Model for Heterogeneous Count Data

Journal of Applied Econometrics, Vol. 8, No. 4, pp. 397-411
Posted: 06 Jun 2016
University of Maryland - Robert H. Smith School of Business, Marketing Department, Pennsylvania State University and University of Michigan, Stephen M. Ross School of Business

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50.

Ad Gist: Ad Communication in a Single Eye Fixation

Marketing Science, Vol. 31, No. 1, 2012; pp. 59-73; DOI: 10.1287/mksc.1110.0673
Posted: 24 Oct 2012
F. G. M. (Rik) Pieters and Michel Wedel
Tilburg University, CentER and University of Maryland - Robert H. Smith School of Business, Marketing Department

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advertising, gist, clutter, typicality, eye fixation, Bayesian models, mixed-outcome models