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  • 标题:Modified EDF Goodness of Fit Tests for Logistic Distribution under SRS and RSS
  • 本地全文:下载
  • 作者:Al-Subh, S. A. ; Alodat, M. T. ; Ibrahim, Kamaruzaman
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2012
  • 卷号:11
  • 期号:2
  • 页码:11
  • 出版社:Wayne State University
  • 摘要:Modified forms of goodness of fit tests are presented for the logistic distribution using statistics based on the empirical distribution function (EDF). A method to improve the power of the modified EDF goodness of fit tests is introduced based on Ranked Set sampling (RSS). Data are collected via the Ranked Set Sampling (RSS) technique (McIntyre, 1952). Critical values for the logistic distribution with unknown parameters are provided and the powers of the tests are given for a number of alternative distributions. A simulation study is presented to illustrate the power of the new method.
  • 关键词:Goodness of fit tests; empirical distribution function; power; logistic distribution; ranked set sample; Kolmogorov-Smirnov statistic
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