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

Yuri Sekiya and Nobuhiro Taneichi

Journal of Multivariate Analysis, 2004, vol. 91, issue 2, 199-223

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.

Keywords: Multinomial; distribution; Goodness-of-fit; statistics; Power; approximation; Likelihood; ratio; test; Nonlocal; alternative (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (4)

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