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  • 标题:On Combining Independent Tests In Case Of Log-Logistic Distribution
  • 本地全文:下载
  • 作者:Abedel-Qader Al-Masri ; Noor Al-Momani
  • 期刊名称:Electronic Journal of Applied Statistical Analysis
  • 电子版ISSN:2070-5948
  • 出版年度:2021
  • 卷号:14
  • 期号:1
  • 页码:217-229
  • DOI:10.1285/i20705948v14n1p217
  • 出版社:University of Salento
  • 摘要:We take a look at the log-logistic distribution via Bahadur’s stochastic comparison of asymptotic relative efficiency by combining infinitely independent tests of hypotheses. We discuss the six free-distribution combination producers namely; Fisher, logistic, sum of p-values, inverse normal, Tippett’s method and maximum of p-values for testing simple hypotheses against one-sided alternative. These methods are compared via the exact Bahadur slope (EBS). Moreover, several comparisons among the six procedures using the exact Bahadur’s slopes were obtained. We further employ numerical study to investigate these comparisons behavior. These non-parametric procedures depend on the p-value of the individual tests combined.
  • 其他摘要:Bahadur's stochastic comparison of asymptotic relative efficiency of combining infinitely independent tests in case of log-logistic distribution is proposed. Six free-distribution combination producers namely; Fisher, logistic, sum of p-values, inverse normal, Tippett's method and maximum of p-values were studied. Several comparisons among the six procedures using the exact Bahadur's slopes were obtained. These non-parametric procedures depend on the p-value of the individual tests combined.
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