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  • 标题:POWER APPROXIMATIONS OF THE TEST OF HOMOGENEITY FOR MULTINOMIAL POPULATIONS
  • 本地全文:下载
  • 作者:Nobuhiro Taneichi ; Yuri Sekiya
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:1995
  • 卷号:25
  • 期号:1
  • 页码:97-109
  • DOI:10.14490/jjss1995.25.97
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:In this paper we propose three approximations to the power of the power-divergence statistic Ra on the test of homogeneity for multinomial populations. These approximations are based on the approximation theories for the multinomial goodness-of-fit test as proposed by Broffitt and Randles (1977) and Drost et al. (1989). One approximation is constructed from a limiting normal distribution of Ra . The others are constructed from the linear and quadratic terms of a Taylor series expansion of Ra . These approximations are compared with the power directly calculated from the product multinomial model. As a result of this comparison, the latter approximations are found to perform well when a≥0. On the homogeneity of two populations, we investigate the power of representative power divergence statistics R 0, R 2/8 and R 1 using the latter approximations. Then, corresponding to alternatives, relations to the power of the three statistics are discussed.
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