Developments in Conjoint Analysis

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[14]  Eric T. Bradlow,et al.  A Learning-Based Model for Imputing Missing Levels in Partial Conjoint Profiles , 2004 .

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[17]  Mark J. Garratt,et al.  Efficient Experimental Design with Marketing Research Applications , 1994 .

[18]  Paul E. Green,et al.  Adaptive Conjoint Analysis: Some Caveats and Suggestions , 1991 .

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[22]  John R. Hauser,et al.  Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis , 2004 .

[23]  Min Ding.  An Incentive-Aligned Mechanism for Conjoint Analysis , 2007 .

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[37]  B. Orme.  Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research , 2005 .

[38]  Z. John Zhang,et al.  Augmenting Conjoint Analysis to Estimate Consumer Reservation Price , 2002, Manag. Sci..

[39]  Greg M. Allenby,et al.  Modeling Household Purchase Behavior with Logistic Normal Regression , 1994 .

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[41]  Kamel Jedidi,et al.  Measuring Heterogeneous Reservation Prices for Product Bundles , 2003 .

[42]  J. Douglas Carroll,et al.  Psychometric Methods in Marketing Research: Part I, Conjoint Analysis , 1995 .

[43]  Peter E. Rossi,et al.  Bayesian Statistics and Marketing: Rossi/Bayesian Statistics and Marketing , 2006 .

[44]  Eric T. Bradlow.  Current issues and a ‘wish list’ for conjoint analysis , 2005 .

[45]  B. Skiera,et al.  Measuring Consumers' Willingness to Pay at the Point of Purchase , 2002 .

[46]  Jerry Wind,et al.  Courtyard by Marriott: Designing a Hotel Facility with Consumer-Based Marketing Models , 1989 .

[47]  Elie Ofek,et al.  How Much Does the Market Value an Improvement in a Product Attribute , 2002 .

[48]  Gary E. Bolton,et al.  INCENTIVE-ALIGNED CONJOINT ANALYSIS , 2004 .

[49]  John R. Hauser,et al.  Conjoint Analysis, Related Modeling, and Applications , 2004 .

[50]  Eric T. Bradlow,et al.  A Hierarchical Bayes Model for Assortment Choice , 2000 .

[51]  Richard M. Johnson.  Comment on “Adaptive Conjoint Analysis: Some Caveats and Suggestions”7 , 1991 .

[52]  V. Rao,et al.  A Balance Model for Evaluating Subsets of Multiattributed Items , 1976 .

[53]  V. Rao,et al.  A General Choice Model for Bundles with Multiple-Category Products: Application to Market Segmentation and Optimal Pricing for Bundles , 2003 .

[54]  Greg M. Allenby,et al.  A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules , 2004 .

[55]  Oded Netzer,et al.  Adaptive Self-Explication of Multi-Attribute Preferences , 2007 .

[56]  Giorgos Zacharia,et al.  Generalized robust conjoint estimation , 2005 .

[57]  Wayne S. DeSarbo,et al.  A Constrained Unfolding Methodology for Product Positioning , 1986 .

[58]  D. Street,et al.  The Construction of Optimal Stated Choice Experiments: Theory and Methods by STREET, D. J. and BURGESS, L. , 2007 .

[59]  Rick L. Andrews,et al.  An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations of Heterogeneity , 2002 .

[60]  Peter E. Rossi,et al.  Bayesian Statistics and Marketing , 2005 .

[61]  Deborah J. Street,et al.  Optimal Designs for 2 k Choice Experiments , 2003 .

[62]  John R. Hauser,et al.  Application and Test of Web-based Adaptive Polyhedral Conjoint Analysis , 2002 .

[63]  J. Carroll,et al.  Guest Editorial: Psychometric Methods in Marketing Research: Part I, Conjoint Analysis , 1995 .

[64]  Deborah J. Street,et al.  The Construction of Optimal Stated Choice Experiments , 2007 .

[65]  F. Bass.  A new product growth model for consumer durables , 1976 .

[66]  Rick L. Andrews,et al.  Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery , 2002 .

[67]  Jordan J. Louviere,et al.  Quick and easy choice sets: Constructing optimal and nearly optimal stated choice experiments , 2005 .

[68]  John R. Hauser,et al.  Fast Polyhedral Adaptive Conjoint Estimation , 2002 .

[69]  Henrik Sattler,et al.  Measurement of Price Effects with Conjoint Analysis: Separating Informational and Allocative Effects of Price , 2003 .

[70]  Christopher J. C. Burges,et al.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.

[71]  Sha Yang,et al.  Modeling Variation in Brand Preference: The Roles of Objective Environment and Motivating Conditions , 2002 .

[72]  Vithala R. Rao,et al.  Conjoint Measurement- for Quantifying Judgmental Data , 1971 .

[73]  John R. Hauser,et al.  Research Note---On Managerially Efficient Experimental Designs , 2007 .

[74]  Dick R. Wittink,et al.  Commercial use of conjoint analysis in Europe: Results and critical reflections , 1994 .