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文章基本信息

  • 标题:Empirical Characteristic Function Approach to Goodness of Fit Tests for the Logistic Distribution under SRS and RSS
  • 本地全文:下载
  • 作者:Alodat, M. T. ; Al-Subh, S. A. ; Ibrahim, Kamaruzaman
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2010
  • 卷号:9
  • 期号:2
  • 页码:23
  • 出版社:Wayne State University
  • 摘要:The integral of the squares modulus of the difference between the empirical characteristic function and the characteristic function of the hypothesized distribution is used by Wong and Sim (2000) to test for goodness of fit. A weighted version of Wong and Sim (2000) under ranked set sampling, a sampling technique introduced by McIntyre (1952), is examined. Simulations that show the ranked set sampling counterpart of Wong and Sim (2000) is more powerful.
  • 关键词:Goodness of fit test; empirical distribution function; logistic distribution; ranked set sampling; simple random sampling
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