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  • 标题:A New Inference Approach for Type-II Generalized Birnbaum-Saunders Distribution
  • 本地全文:下载
  • 作者:Naijun Sha
  • 期刊名称:Stats
  • 电子版ISSN:2571-905X
  • 出版年度:2019
  • 卷号:2
  • 期号:1
  • 页码:148-163
  • DOI:10.3390/stats2010011
  • 出版社:MDPI AG
  • 摘要:The Birnbaum-Saunders (BS) distribution, with its generalizations, has been successfully applied in a wide variety of fields. One generalization, type-II generalized BS (denoted as GBS-II), has been developed and attracted considerable attention in recent years. In this article, we propose a new simple and convenient procedure of inference approach for GBS-II distribution. An extensive simulation study is carried out to assess performance of the methods under various settings of parameter values with different sample sizes. Real data are analyzed for illustrative purposes to display the efficiency of the proposed method.
  • 关键词:generalized Birnbaum-Saunders distribution; likelihood function; transformation; approximation; estimation; hypothesis test generalized Birnbaum-Saunders distribution ; likelihood function ; transformation ; approximation ; estimation ; hypothesis test
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