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Segmentação de Mercado e modelos mistura de regressão para variáveis normais

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Author Info
Ana Oliveira-Brochado () (EDGE, CESUR, DECIVIL-IST, Universidade Técnica de Lisboa)
Francisco Vitorino Martins () (EDGE, Faculdade de Economia da Universidade do Porto)
Abstract

The purpose of this work is to provide an overview of what is perhaps the most common analysis context in market research – that of regression models for normally distributed data. In fact, examples of applications of these models continue to accumulate in the marketing literature, given their relative advantages. Moreover, these models are ease implemented due to its incorporation in many commercial packages of marketing research. We aim at presenting the background for the development of mixture regression models (switching regressions, clusterwise regression and finite mixture models) and review the formulation of the basic model and its main extensions in the context of panel data analysis and conjoint studies.

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Paper provided by Universidade do Porto, Faculdade de Economia do Porto in its series FEP Working Papers with number 262.

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Length: 34 pages
Date of creation: Jan 2008
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Handle: RePEc:por:fepwps:262

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Related research
Keywords: market segmentation mixture regression models normal data.

Find related papers by JEL classification:
C0 - Mathematical and Quantitative Methods - - General
D0 - Microeconomics - - General

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  1. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March. [Downloadable!] (restricted)
  2. Wayne DeSarbo & William Cron, 1988. "A maximum likelihood methodology for clusterwise linear regression," Journal of Classification, Springer, vol. 5(2), pages 249-282, September. [Downloadable!] (restricted)
  3. Cosslett, Stephen R. & Lee, Lung-Fei, 1985. "Serial correlation in latent discrete variable models," Journal of Econometrics, Elsevier, vol. 27(1), pages 79-97, January. [Downloadable!] (restricted)
  4. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer, vol. 52(3), pages 333-343, September. [Downloadable!] (restricted)
  5. Michel Wedel & Wayne DeSarbo, 1995. "A mixture likelihood approach for generalized linear models," Journal of Classification, Springer, vol. 12(1), pages 21-55, March. [Downloadable!] (restricted)
  6. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70. [Downloadable!] (restricted)
  7. Wayne DeSarbo & Richard Oliver & Arvind Rangaswamy, 1989. "A simulated annealing methodology for clusterwise linear regression," Psychometrika, Springer, vol. 54(4), pages 707-736, September. [Downloadable!] (restricted)
  8. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March. [Downloadable!] (restricted)
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