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Separating Latent Classes by Information Criteria

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  • Chih-Chien Yang
  • Chih-Chiang Yang

Abstract

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  • Chih-Chien Yang & Chih-Chiang Yang, 2007. "Separating Latent Classes by Information Criteria," Journal of Classification, Springer;The Classification Society, vol. 24(2), pages 183-203, September.
    • Handle: RePEc:spr:jclass:v:24:y:2007:i:2:p:183-203
    DOI: 10.1007/s00357-007-0010-1
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    Cited by:

    1. Ndebele, Tom & Marsh, Dan & Scarpa, Riccardo, 2019. "Consumer switching in retail electricity markets: Is price all that matters?," Energy Economics, Elsevier, vol. 83(C), pages 88-103.
    2. Francesco, Bartolucci & Silvia, Bacci & Claudia, Pigini, 2015. "A misspecification test for finite-mixture logistic models for clustered binary and ordered responses," MPRA Paper 64220, University Library of Munich, Germany.
    3. William Breffle & Edward Morey & Jennifer Thacher, 2011. "A Joint Latent-Class Model: Combining Likert-Scale Preference Statements With Choice Data to Harvest Preference Heterogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 83-110, September.
    4. Ndebele, Tom & Marsh, Dan, 2014. "Environmental attitude and the demand for green electricity in the context of supplier choice: A case study of the New Zealand retail electricity market," 2014 Conference, August 28-29, 2014, Nelson, New Zealand 188376, New Zealand Agricultural and Resource Economics Society.
    5. Paolo Li Donni & Ranjeeta Thomas, 2020. "Latent class models for multiple ordered categorical health data: testing violation of the local independence assumption," Empirical Economics, Springer, vol. 59(4), pages 1903-1931, October.
    6. Vera, J. Fernando & Macas, Rodrigo & Heiser, Willem J., 2009. "A dual latent class unfolding model for two-way two-mode preference rating data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3231-3244, June.
    7. Nicolas Depraetere & Martina Vandebroek, 2014. "Order selection in finite mixtures of linear regressions," Statistical Papers, Springer, vol. 55(3), pages 871-911, August.
    8. Díaz-García, José A. & Caro-Lopera, Francisco J., 2016. "Elliptical affine shape distributions for real normed division algebras," Journal of Multivariate Analysis, Elsevier, vol. 144(C), pages 139-149.
    9. Díaz-García, José A. & Caro-Lopera, Francisco J., 2012. "Statistical theory of shape under elliptical models and singular value decompositions," Journal of Multivariate Analysis, Elsevier, vol. 103(1), pages 77-92, January.
    10. José A. Daíz-García & Francisco J. Caro-Lopera, 2019. "Statistical Theory of Shape Under Elliptical Models via Polar Decompositions," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(2), pages 445-465, December.
    11. Parra Márquez, Juan Carlos, 2017. "Análisis del comportamiento del Modelo de Crecimiento de Gompertz en la predicción del crecimiento de la economía de Argentina, Bolivia, Chile y Perú/Study of Economic Growth of four Latin American Ec," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 35, pages 443-464, Mayo.
    12. Bartolucci, Francesco & Bacci, Silvia & Pigini, Claudia, 2017. "Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data," Econometrics and Statistics, Elsevier, vol. 3(C), pages 112-131.
    13. Campbell, Danny & Mørkbak, Morten Raun & Olsen, Søren Bøye, 2018. "The link between response time and preference, variance and processing heterogeneity in stated choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 18-34.
    14. Simon Blanchard & Wayne DeSarbo, 2013. "A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 322-340, April.
    15. Spiliopoulos, Leonidas, 2012. "Pattern recognition and subjective belief learning in a repeated constant-sum game," Games and Economic Behavior, Elsevier, vol. 75(2), pages 921-935.
    16. Ana Oliveira-Brochado & Francisco Vitorino Martins, 2014. "Identifying Small Market Segments with Mixture Regression Models," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 4(4), pages 812-812.
    17. José Díaz-García & Francisco Caro-Lopera, 2012. "Generalised shape theory via SV decomposition I," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(4), pages 541-565, May.
    18. Simon Blanchard & Daniel Aloise & Wayne DeSarbo, 2012. "The Heterogeneous P-Median Problem for Categorization Based Clustering," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 741-762, October.

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