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  • 标题:Goodness of fit tests and power comparisons for weighted Gamma distribution
  • 作者:Neetu Singla ; Kanchan Jain ; Suresh Kumar Sharma
  • 期刊名称:RevStat : Statistical Journal
  • 印刷版ISSN:1645-6726
  • 出版年度:2016
  • 卷号:14
  • 期号:1
  • 页码:29-48
  • 出版社:Instituto Nacional de Estatística
  • 摘要:In this paper, a weighted version of Gamma distribution known as Weighted Gamma (WG) distribution has been considered. Various tests of go odness of fit viz Kolmo- gorov–Smirnov, Cram′ er–von Mises and Anderson–Darling have been applied to this family. Monte Carlo simulations have been carried out for power calculations. The powers of these tests have been compared which helps in ranking of these goodness of fit tests.
  • 关键词:Weighted Gamma; Kolmogorov–Smirnov; Cram′ ; er–von Mises and Anderson–Darling; ; power
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