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Improvement of approximations for the distributions of multinomial goodness-of-fit statistics under nonlocal alternatives

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  • Sekiya, Yuri
  • Taneichi, Nobuhiro

Abstract

Cressie and Read (J. Roy. Statist. Soc. B 46 (1984) 440-464) introduced the power divergence statistics, Ra, as multinomial goodness-of-fit statistics. Each Ra has a limiting noncentral chi-square distribution under a local alternative and has a limiting normal distribution under a nonlocal alternative. Taneichi et al. (J. Multivariate Anal. 81 (2002) 335-359) derived an asymptotic approximation for the distribution of Ra under local alternatives. In this paper, using multivariate Edgeworth expansion for a continuous distribution, we show how the approximation based on the limiting normal distribution of Ra under nonlocal alternatives can be improved. We apply the expansion to the power approximation for Ra. The results of numerical investigation show that the proposed power approximation is very effective for the likelihood ratio test.

Suggested Citation

  • Sekiya, Yuri & Taneichi, Nobuhiro, 2004. "Improvement of approximations for the distributions of multinomial goodness-of-fit statistics under nonlocal alternatives," Journal of Multivariate Analysis, Elsevier, vol. 91(2), pages 199-223, November.
    • Handle: RePEc:eee:jmvana:v:91:y:2004:i:2:p:199-223
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    1. Taneichi, Nobuhiro & Sekiya, Yuri & Suzukawa, Akio, 2002. "Asymptotic Approximations for the Distributions of the Multinomial Goodness-of-Fit Statistics under Local Alternatives," Journal of Multivariate Analysis, Elsevier, vol. 81(2), pages 335-359, May.
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    Cited by:

    1. Taneichi, Nobuhiro & Sekiya, Yuri & Toyama, Jun, 2014. "Transformed goodness-of-fit statistics for a generalized linear model of binary data," Journal of Multivariate Analysis, Elsevier, vol. 123(C), pages 311-329.
    2. Taneichi, Nobuhiro & Sekiya, Yuri, 2007. "Improved transformed statistics for the test of independence in rxs contingency tables," Journal of Multivariate Analysis, Elsevier, vol. 98(8), pages 1630-1657, September.
    3. Taneichi, Nobuhiro & Sekiya, Yuri & Toyama, Jun, 2019. "Transformed statistics for tests of conditional independence in J×K×L contingency tables," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 193-208.
    4. Taneichi, Nobuhiro & Sekiya, Yuri & Toyama, Jun, 2011. "Improved transformed deviance statistic for testing a logistic regression model," Journal of Multivariate Analysis, Elsevier, vol. 102(9), pages 1263-1279, October.

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