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  • 标题:Interval Estimation in a Two Parameter Weibull Distribution Based on Type-2 Censored Data
  • 本地全文:下载
  • 作者:Raphael Masila Mweleli ; Luke Akong’o Orawo ; Cox Lwaka Tamba
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2020
  • 卷号:10
  • 期号:06
  • 页码:1039-1056
  • DOI:10.4236/ojs.2020.106059
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, we consider the construction of the approximate profile- likelihood confidence intervals for parameters of the 2-parameter Weibull distribution based on small type-2 censored samples. In previous research works, the traditional Wald method has been used to construct approximate confidence intervals for the 2-parameter Weibull distribution under type-2 censoring scheme. However, the Wald technique is based on normality assumption and thus may not produce accurate interval estimates for small samples. The profile-likelihood and Wald confidence intervals are constructed for the shape and scale parameters of the 2-parameter Weibull distribution based on simulated and real type-2 censored data, and are hence compared using confidence length and coverage probability.
  • 关键词:Two-Parameter Weibull Distribution;Interval Estimation;Relative Likelihood Function;Maximum Relative Likelihood Function;Profile-Likelihood Interval;Coverage Probability
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