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Bootstrap tests for misspecified models, with application to clustered binary data

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  • Aerts, Marc
  • Claeskens, Gerda

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  • Aerts, Marc & Claeskens, Gerda, 2001. "Bootstrap tests for misspecified models, with application to clustered binary data," Computational Statistics & Data Analysis, Elsevier, vol. 36(3), pages 383-401, May.
    • Handle: RePEc:eee:csdana:v:36:y:2001:i:3:p:383-401
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    References listed on IDEAS

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    1. D. R. Cox, 1972. "The Analysis of Multivariate Binary Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 21(2), pages 113-120, June.
    2. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    3. Marc Aerts & Gerda Claeskens, 1999. "Bootstrapping Pseudolikelihood Models for Clustered Binary Data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 51(3), pages 515-530, September.
    4. Moulton, Lawrence H. & Zeger, Scott L., 1991. "Bootstrapping generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 11(1), pages 53-63, January.
    5. Molenberghs, Geert & Declerck, Lieven & Aerts, Marc, 1998. "Misspecifying the likelihood for clustered binary data," Computational Statistics & Data Analysis, Elsevier, vol. 26(3), pages 327-349, January.
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    Cited by:

    1. Claeskens, Gerda & Aerts, Marc & Molenberghs, Geert, 2003. "A quadratic bootstrap method and improved estimation in logistic regression," Statistics & Probability Letters, Elsevier, vol. 61(4), pages 383-394, February.
    2. repec:hum:wpaper:sfb649dp2014-067 is not listed on IDEAS
    3. Lavergne, Pascal & Bertail, Patrice, 2020. "Bootstrapping Quasi Likelihood Ratio Tests under Misspecification," TSE Working Papers 20-1102, Toulouse School of Economics (TSE).
    4. Spokoiny, Vladimir & Zhilova, Mayya, 2014. "Bootstrap confidence sets under model misspecification," SFB 649 Discussion Papers 2014-067, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

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