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On the Efficiency of Score Tests for Homogeneity in Two-Component Parametric Models for Discrete Data

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  • David Todem
  • Wei-Wen Hsu
  • KyungMann Kim

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  • David Todem & Wei-Wen Hsu & KyungMann Kim, 2012. "On the Efficiency of Score Tests for Homogeneity in Two-Component Parametric Models for Discrete Data," Biometrics, The International Biometric Society, vol. 68(3), pages 975-982, September.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:3:p:975-982
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01737.x
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    References listed on IDEAS

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    1. Martin Ridout & John Hinde & Clarice G. B. Demétrio, 2001. "A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives," Biometrics, The International Biometric Society, vol. 57(1), pages 219-223, March.
    2. Daniel B. Hall, 2000. "Zero-Inflated Poisson and Binomial Regression with Random Effects: A Case Study," Biometrics, The International Biometric Society, vol. 56(4), pages 1030-1039, December.
    3. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
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    Cited by:

    1. Wei‐Wen Hsu & David Todem & KyungMann Kim, 2016. "A sup‐score test for the cure fraction in mixture models for long‐term survivors," Biometrics, The International Biometric Society, vol. 72(4), pages 1348-1357, December.
    2. Wilson, Paul, 2015. "The misuse of the Vuong test for non-nested models to test for zero-inflation," Economics Letters, Elsevier, vol. 127(C), pages 51-53.
    3. Tian, Guo-Liang & Ma, Huijuan & Zhou, Yong & Deng, Dianliang, 2015. "Generalized endpoint-inflated binomial model," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 97-114.
    4. Wei-Wen Hsu & David Todem & Kyungmann Kim, 2015. "Adjusted Supremum Score-Type Statistics for Evaluating Non-Standard Hypotheses," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(3), pages 746-759, September.

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