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Article
Large Sample and Bootstrap Intervals for the Gamma Scale Parameter Based on Grouped Data
Journal of Modern Applied Statistical Methods
  • Ayman Baklizi, Yarmouk University, Irbid, Jordan
  • Amjad Al-Nasser, Yarmouk University, Irbid, Jordan
Publication Date
11-1-2005
Abstract
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.
DOI
10.22237/jmasm/1162354140
Citation Information
Ayman Baklizi and Amjad Al-Nasser. "Large Sample and Bootstrap Intervals for the Gamma Scale Parameter Based on Grouped Data" (2005)
Available at: http://works.bepress.com/amjad_al-nasser/1/