Efficiency comparisons of goodness-of-fit tests for Weibull and gamma distributions with singly censored data

Graduate Thesis Or Dissertation

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Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/6682x721k

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Attribute Name	Values
Creator	Bargal, Adel Ibrahim
Abstract	Generalizations of the smooth goodness-of-fit test statistics, the components of Cramer-von Mises type statistics and the Pearson chi-square statistics are considered for censored samples. Asymptotic efficiency comparisons are made between these general goodness-of-fit tests for Weibull and gamma distributions for certain parametric alternatives in the case of singly censored samples. Efficiency comparisons are also made with the specialized tests of Mann for Weibull distribution and of Locke for gamma distribution. Among these tests the smooth test of order one was found to be most efficient for all cases considered.
Resource Type	Dissertation
Date Available	2013-08-27T17:30:05+00:00
Date Issued	1981-05-01
Degree Level	Doctoral
Degree Name	Doctor of Philosophy (Ph.D.)
Degree Field	Statistics
Degree Grantor	Oregon State University
Commencement Year	1981
Advisor	Thomas, David R.
Academic Affiliation	Statistics
Non-Academic Affiliation	Oregon State University. Graduate School
Subject	Goodness-of-fit tests
Rights Statement	Copyright Not Evaluated
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Digitization Specifications	File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
Replaces	http://hdl.handle.net/1957/42132

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