Show simple item record

A comparison of generalized multinomial logit (GMNL) and latent class approaches to studying consumer heterogeneity with some extensions of the GMNL model by Peter J. Lenk

dc.contributor.authorLenk, Peter J.en_US
dc.date.accessioned2012-01-05T22:05:07Z
dc.date.available2013-01-02T16:31:50Zen_US
dc.date.issued2011-11en_US
dc.identifier.citationLenk, Peter (2011). "A comparison of generalized multinomial logit (GMNL) and latent class approaches to studying consumer heterogeneity with some extensions of the GMNL model by Peter J. Lenk." Applied Stochastic Models in Business and Industry 27(6): 580-583. <http://hdl.handle.net/2027.42/89466>en_US
dc.identifier.issn1524-1904en_US
dc.identifier.issn1526-4025en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/89466
dc.publisherJohn Wiley & Sons, Ltden_US
dc.titleA comparison of generalized multinomial logit (GMNL) and latent class approaches to studying consumer heterogeneity with some extensions of the GMNL model by Peter J. Lenken_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/89466/1/asmb941.pdf
dc.identifier.doi10.1002/asmb.941en_US
dc.identifier.sourceApplied Stochastic Models in Business and Industryen_US
dc.identifier.citedreferenceFiebig DG, Kean MP, Louviere JJ, Wasi N. The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity. Marketing Science 2010 29: 393 – 421.en_US
dc.identifier.citedreferenceKamakura WA, Russell GJ. A Probabilistic Choice Model for Market Segmentation and Elasticity Structure. Journal of Marketing Research 1989 26 ( 4 ): 389 – 390.en_US
dc.identifier.citedreferenceAitchison J, Bennet J A. Polychotomous quantal response by maximum indicant. Biometrika 1970 57: 253 – 262.en_US
dc.identifier.citedreferenceMcFadden D. Conditional logit analysis of quantitative choice behavior, In Frontiers in Econometrics, Vol.  105–142, Zarembka P (ed), Academic Press, New York, 1974.en_US
dc.identifier.citedreferenceLenk P, DeSarbo W, Green P, Young M. Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs. Marketing Science 1996 15 ( 2 ): 173 – 191.en_US
dc.identifier.citedreferenceBerger JO, Roberts C. Subjective Hierarchical Bayes Estimation of a Multivariate Normal Mean: on the Frequentist Interface. The Annals of Statistics 1990 18 ( 2 ): 617 – 651.en_US
dc.identifier.citedreferenceLenk P, DeSarbo W. Bayesian Inference for Finite Mixtures of Generalized Linear Models with Random Effects. Psychometrika 2000 65 ( 1 ): 93 – 119.en_US
dc.identifier.citedreferenceGlibride T, Lenk P. Posterior Predictive Model Checking: An Application to Multivariate Normal Heterogeneity. Journal of Marketing Research 2010 47 ( 5 ): 896 – 909.en_US
dc.identifier.citedreferenceAllenby G, Lenk P. Modeling Household Purchase Behavior with Logistic Normal Regression. Journal of the American Statistical Association 1994 83 ( 428 ): 1218 – 1231.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.