首页    期刊浏览 2025年08月15日 星期五
登录注册

文章基本信息

  • 标题:Bayes and Non-Bayes Estimation of Change Point in Nonstandard Mixture Inverse Weibull Distribution
  • 本地全文:下载
  • 作者:Masoud Ganji ; Roghayeh Mostafayi
  • 期刊名称:Journal of Statistical Theory and Applications (JSTA)
  • 电子版ISSN:1538-7887
  • 出版年度:2019
  • 卷号:18
  • 期号:1
  • 页码:79-86
  • DOI:10.2991/jsta.d.190306.011
  • 语种:English
  • 出版社:Atlantis Press
  • 摘要:We consider a sequence of independent random variables X1,X2,…,Xm,…,Xnn≥3 exhibiting a change in the probability distribution of the data generating mechanism. We suppose that the distribution changes at some point, called a change point, to a second distribution for the remaining observations. We propose Bayes estimators of change point under symmetric loss functions and asymmetric loss functions. The sensitivity analysis of Bayes estimators are carried out by simulation and numerical comparisons with R-programming.
  • 关键词:Bayes estimate; change point; mixture distribution; inverse Weibull distribution; maximum likelihood estimate.
国家哲学社会科学文献中心版权所有