文章基本信息

标题：Large Sample and Bootstrap Intervals for the Gamma Scale Parameter Based on Grouped Data
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作者：Baklizi, Ayman ; Al-Nasser, Amjad
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2006
卷号：5
期号：2
页码：10
出版社：Wayne State University
摘要：Interval estimation of the scale parameter of the gamma distribution using grouped data is considered in this article. Exact intervals do not exist and approximate intervals are needed Recently, Chen and Mi (2001) proposed alternative approximate intervals. In this article, some bootstrap and jackknife type intervals are proposed. The performance of these intervals is investigated and compared. The results show that some of the suggested intervals have a satisfactory statistical performance in situations where the sample size is small with heavy proportion of censoring.
关键词：bootstrap; gamma distribution; grouped data; interval estimation