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Volumn 20, Issue 4, 2003, Pages 315-321

Retention of latent segments in regression-based marketing models

Author keywords

Finite mixture; Information criteria; Segmentation

Indexed keywords


EID: 0344943993     PISSN: 01678116     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijresmar.2003.04.001     Document Type: Article
Times cited : (77)

References (18)
  • 1
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • B. N. Petrov, & B. F. Csaki (Eds.), Budapest: Academiai Kiado
    • Akaike H. Information theory and an extension of the maximum likelihood principle. In Petrov B.N. Csaki B.F. (Eds.), Second international symposium on information theory 1973 267-281 Academiai Kiado Budapest
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 2
    • 0036003876 scopus 로고    scopus 로고
    • Hierarchical Bayes vs. finite mixture conjoint analysis models: A comparison of fit, prediction, and partworth recovery
    • February
    • Andrews R.L. Ansari A. Currim I.S. Hierarchical Bayes vs. finite mixture conjoint analysis models: A comparison of fit, prediction, and partworth recovery Journal of Marketing Research 39 2002, February 87-98
    • (2002) Journal of Marketing Research , vol.39 , pp. 87-98
    • Andrews, R.L.1    Ansari, A.2    Currim, I.S.3
  • 3
    • 0011611162 scopus 로고    scopus 로고
    • A comparison of segment retention criteria for finite mixture logit models
    • Andrews R.L. Currim I.S. A comparison of segment retention criteria for finite mixture logit models Journal of Marketing Research XL 2 2003 235-243
    • (2003) Journal of Marketing Research , vol.40 , Issue.2 , pp. 235-243
    • Andrews, R.L.1    Currim, I.S.2
  • 4
    • 34250108028 scopus 로고
    • Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
    • Bozdogan H. Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions Psychometrika 52 3 1987 345-370
    • (1987) Psychometrika , vol.52 , Issue.3 , pp. 345-370
    • Bozdogan, H.1
  • 5
    • 0002259289 scopus 로고
    • ICOMP: A new model selection criterion
    • H. H. Bock (Ed.), Amsterdam: North-Holland
    • Bozdogan H. ICOMP: A new model selection criterion. In Bock H.H. (Ed.), Classification and related methods of data analysis 1988 599-608 North-Holland Amsterdam
    • (1988) Classification and Related Methods of Data Analysis , pp. 599-608
    • Bozdogan, H.1
  • 6
    • 0000747992 scopus 로고
    • On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear models
    • Bozdogan H. On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear models Communications in Statistics, Theory, and Methods 19 1 1990 221-278
    • (1990) Communications in Statistics, Theory, and Methods , vol.19 , Issue.1 , pp. 221-278
    • Bozdogan, H.1
  • 7
    • 0002356276 scopus 로고
    • Choosing the number of component clusters in the mixture-model using a new informational complexity criterion of the inverse-Fisher information matrix
    • O. Opitz, B. Lausen, & R. Klar (Eds.), New York: Springer-Verlag
    • Bozdogan H. Choosing the number of component clusters in the mixture-model using a new informational complexity criterion of the inverse-Fisher information matrix. In Opitz O. Lausen B. Klar R. (Eds.), Information and classification: Concepts, methods and applications 1992 40-54 Springer-Verlag New York
    • (1992) Information and Classification: Concepts, Methods and Applications , pp. 40-54
    • Bozdogan, H.1
  • 9
    • 0030351528 scopus 로고    scopus 로고
    • An entropy criterion for assessing the number of clusters in a mixture model
    • Celeux G. Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model Journal of Classification 13 2 1996 195-212
    • (1996) Journal of Classification , vol.13 , Issue.2 , pp. 195-212
    • Celeux, G.1    Soromenho, G.2
  • 11
    • 0001237218 scopus 로고
    • A maximum likelihood methodology for clusterwise linear regression
    • DeSarbo W.S. Cron W.L. A maximum likelihood methodology for clusterwise linear regression Journal of Classification 5 1988 249-282
    • (1988) Journal of Classification , vol.5 , pp. 249-282
    • DeSarbo, W.S.1    Cron, W.L.2
  • 13
    • 21344488785 scopus 로고
    • A new approach to country segmentation using multinational diffusion patterns
    • Helsen K. Jedidi K. DeSarbo W.S. A new approach to country segmentation using multinational diffusion patterns Journal of Marketing 26 1 1993 60-71
    • (1993) Journal of Marketing , vol.26 , Issue.1 , pp. 60-71
    • Helsen, K.1    Jedidi, K.2    DeSarbo, W.S.3
  • 14
    • 21144468655 scopus 로고
    • A latent-pooling methodology for regression analysis with limited time-series cross-sections: A PIMS data application
    • Ramaswamy V. DeSarbo W.S. Reibstein D.J. Robinson W.T. A latent-pooling methodology for regression analysis with limited time-series cross-sections: A PIMS data application Marketing Science 12 1 1993 103-124
    • (1993) Marketing Science , vol.12 , Issue.1 , pp. 103-124
    • Ramaswamy, V.1    DeSarbo, W.S.2    Reibstein, D.J.3    Robinson, W.T.4
  • 15
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G. Estimating the dimension of a model The Annals of Statistics 6 2 1978 461-464
    • (1978) The Annals of Statistics , vol.6 , Issue.2 , pp. 461-464
    • Schwarz, G.1
  • 16
    • 0030521578 scopus 로고    scopus 로고
    • Metric conjoint segmentation methods: A Monte Carlo comparison
    • February
    • Vriens M. Wedel M. Wilms T. Metric conjoint segmentation methods: A Monte Carlo comparison Journal of Marketing Research 33 1996, February 73-85
    • (1996) Journal of Marketing Research , vol.33 , pp. 73-85
    • Vriens, M.1    Wedel, M.2    Wilms, T.3
  • 17
    • 0002317299 scopus 로고
    • A review of recent developments in latent class regression models
    • R. P. Bagozzi (Ed.), Malden, MA: Blackwell Publishers
    • Wedel M. DeSarbo W.S. A review of recent developments in latent class regression models. In Bagozzi R.P. (Ed.), Advanced methods of marketing research 1994 352-388 Blackwell Publishers Malden, MA
    • (1994) Advanced Methods of Marketing Research , pp. 352-388
    • Wedel, M.1    DeSarbo, W.S.2
  • 18
    • 34249753047 scopus 로고
    • A mixture likelihood approach for generalized linear models
    • Wedel M. DeSarbo W.S. A mixture likelihood approach for generalized linear models Journal of Classification 12 1995 1-35
    • (1995) Journal of Classification , vol.12 , pp. 1-35
    • Wedel, M.1    DeSarbo, W.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.