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The local power of the gradient test

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Abstract

The asymptotic expansion of the distribution of the gradient test statistic is derived for a composite hypothesis under a sequence of Pitman alternative hypotheses converging to the null hypothesis at rate n −1/2, n being the sample size. Comparisons of the local powers of the gradient, likelihood ratio, Wald and score tests reveal no uniform superiority property. The power performance of all four criteria in one-parameter exponential family is examined.

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References

  • Bartlett M.S. (1953a) Approximate confidence intervals. Biometrika 40: 12–19

    MathSciNet  MATH  Google Scholar 

  • Bartlett M.S. (1953b) Approximate confidence intervals, II. More than one unknown parameter. Biometrika 40: 306–317

    MathSciNet  MATH  Google Scholar 

  • Bracewell R. (1999) The Fourier transform and its applications (3rd ed.). McGraw-Hill, New York

    Google Scholar 

  • Cordeiro G.M., Botter D.A., Ferrari S.L.P. (1994) Nonnull asymptotic distributions of three classic criteria in generalised linear models. Biometrika 81: 709–720

    Article  MathSciNet  MATH  Google Scholar 

  • Cox D.R., Snell E.J. (1968) A general definition of residuals (with discussion). Journal of the Royal Statistical Society B 30: 248–275

    MathSciNet  Google Scholar 

  • Ferrari S.L.P., Botter D.A., Cribari-Neto F. (1997) Local power of three classic criteria in generalised linear models with unknown dispersion. Biometrika 84: 482–485

    Article  MATH  Google Scholar 

  • Firth D. (1993) Bias reduction of maximum likelihood estimates. Biometrika 80: 27–38

    Article  MathSciNet  MATH  Google Scholar 

  • Harris P., Peers H.W. (1980) The local power of the efficient score test statistic. Biometrika 67: 525–529

    Article  MathSciNet  MATH  Google Scholar 

  • Hayakawa T. (1975) The likelihood ratio criterion for a composite hypothesis under a local alternative. Biometrika 62: 451–460

    Article  MathSciNet  MATH  Google Scholar 

  • Hayakawa T. (1977) The likelihood ratio criterion and the asymptotic expansion of its distribution. Annals of the Institute of Statistical Mathematics 29: 359–378

    Article  MathSciNet  MATH  Google Scholar 

  • Hayakawa T., Puri M.L. (1985) Asymptotic expansions of the distributions of some test statistics. Annals of the Institute of Statistical Mathematics 37: 95–108

    Article  MathSciNet  MATH  Google Scholar 

  • Peers H.W. (1971) Likelihood ratio and associated test criteria. Biometrika 58: 577–587

    Article  MATH  Google Scholar 

  • Rao C.R. (1948) Large sample tests of statistical hypotheses concerning several parameters with applications to problens of estimation. Proceedings of the Cambridge Philosophical Society 44: 50–57

    Article  MATH  Google Scholar 

  • Rao C.R. (2005) Score test: historical review and recent developments. In: Balakrishnan N., Kannan N., Nagaraja H.N. (eds) Advances in ranking and selection, multiple comparisons, and reliability. Birkhauser, Boston

    Google Scholar 

  • Rao C.R., Mukerjee R. (1997) Comparison of LR, score, and Wald tests in a non-iid setting. Journal of Multivariate Analysis 60: 99–110

    Article  MathSciNet  MATH  Google Scholar 

  • Terrell G.R. (2002) The gradient statistic. Computing Science and Statistics 34: 206–215

    Google Scholar 

  • Wald A. (1943) Tests of statistical hypothesis concerning several parameters when the number of observations is large. Transactions of the American Mathematical Society 54: 426–482

    Article  MathSciNet  MATH  Google Scholar 

  • Wilks S.S. (1938) The large-sample distribution of the likelihood ratio for testing composite hypothesis. Annals of Mathematical Statistics 9: 60–62

    Article  MATH  Google Scholar 

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Correspondence to Silvia L. P. Ferrari.

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We gratefully acknowledge grants from FAPESP and CNPq (Brazil).

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Lemonte, A.J., Ferrari, S.L.P. The local power of the gradient test. Ann Inst Stat Math 64, 373–381 (2012). https://doi.org/10.1007/s10463-010-0315-4

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  • DOI: https://doi.org/10.1007/s10463-010-0315-4

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