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AuthorBaklizi, Ayman
AuthorAl-Nasser, Amjad
Available date2023-11-08T12:10:19Z
Publication Date2006-01-01
Publication NameJournal of Modern Applied Statistical Methods
Identifierhttp://dx.doi.org/10.22237/jmasm/1162354140
CitationBaklizi, A., & Al-Nasser, A. (2006). Large Sample and Bootstrap Intervals for the Gamma Scale Parameter Based on Grouped Data. Journal of Modern Applied Statistical Methods, 5, 356-366.‏
ISSN15389472
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=48249153818&origin=inward
URIhttp://hdl.handle.net/10576/49086
AbstractInterval 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. Copyright © 2006 JMASM, Inc.
Languageen
PublisherWayne State University
SubjectBootstrap
Gamma distribution
Grouped data
Interval estimation
TitleLarge sample and bootstrap intervals for the gamma scale parameter based on grouped data
TypeArticle
Pagination356-366
Issue Number2
Volume Number5
dc.accessType Open Access


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