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Evaluating Statistical Hypotheses Using Weakly-Identifiable Estimating Functions

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  • GUANQUN CAO
  • DAVID TODEM
  • LIJIAN YANG
  • JASON P. FINE

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  • Guanqun Cao & David Todem & Lijian Yang & Jason P. Fine, 2013. "Evaluating Statistical Hypotheses Using Weakly-Identifiable Estimating Functions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(2), pages 256-273, June.
    • Handle: RePEc:bla:scjsta:v:40:y:2013:i:2:p:256-273
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    File URL: http://hdl.handle.net/10.1111/j.1467-9469.2012.00811.x
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    References listed on IDEAS

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    1. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    2. D. Todem & J. Fine & L. Peng, 2010. "A Global Sensitivity Test for Evaluating Statistical Hypotheses with Nonidentifiable Models," Biometrics, The International Biometric Society, vol. 66(2), pages 558-566, June.
    3. J. Copas, 1999. "What works?: selectivity models and meta‐analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 95-109.
    4. Rotnitzky Andrea & Daniel Scharfstein & Ting‐Li Su & James Robins, 2001. "Methods for Conducting Sensitivity Analysis of Trials with Potentially Nonignorable Competing Causes of Censoring," Biometrics, The International Biometric Society, vol. 57(1), pages 103-113, March.
    5. Christian Ritz & Ib M. Skovgaard, 2005. "Likelihood ratio tests in curved exponential families with nuisance parameters present only under the alternative," Biometrika, Biometrika Trust, vol. 92(3), pages 507-517, September.
    6. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
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    Cited by:

    1. Ke Wang & Xin Ye & Jie Ma, 2018. "An empirical analysis of post-work grocery shopping activity duration using modified accelerated failure time model to differentiate time-dependent and time-independent covariates," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-17, November.

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