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A new condition for identifiability of finite mixture distributions

Author

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  • N. Atienza
  • J. Garcia-Heras
  • J. Muñoz-Pichardo

Abstract

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Suggested Citation

  • N. Atienza & J. Garcia-Heras & J. Muñoz-Pichardo, 2006. "A new condition for identifiability of finite mixture distributions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 63(2), pages 215-221, April.
    • Handle: RePEc:spr:metrik:v:63:y:2006:i:2:p:215-221
    DOI: 10.1007/s00184-005-0013-z
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    Citations

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    Cited by:

    1. Shaoting Li & Jiahua Chen, 2023. "Mixture of shifted binomial distributions for rating data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(5), pages 833-853, October.
    2. Manisera, Marica & Zuccolotto, Paola, 2015. "Identifiability of a model for discrete frequency distributions with a multidimensional parameter space," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 302-316.
    3. Gambacciani, Marco & Paolella, Marc S., 2017. "Robust normal mixtures for financial portfolio allocation," Econometrics and Statistics, Elsevier, vol. 3(C), pages 91-111.
    4. Otiniano, C.E.G. & Rathie, P.N. & Ozelim, L.C.S.M., 2015. "On the identifiability of finite mixture of Skew-Normal and Skew-t distributions," Statistics & Probability Letters, Elsevier, vol. 106(C), pages 103-108.
    5. Lei Yang & Xianyi Wu, 2014. "A new sufficient condition for identifiability of countably infinite mixtures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(3), pages 377-387, April.
    6. Azari Soufiani, Hossein & Diao, Hansheng & Lai, Zhenyu & Parkes, David C., 2013. "Generalized Random Utility Models with Multiple Types," Scholarly Articles 12363923, Harvard University Department of Economics.

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