Testing for Exponentiality

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/20091

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DC Field	Value	Language
dc.contributor.advisor	Tiku, M. L.	-
dc.contributor.author	Rai, Kamta	-
dc.date.accessioned	2016-08-10T14:10:55Z	-
dc.date.available	2016-08-10T14:10:55Z	-
dc.date.issued	1973-08	-
dc.identifier.uri	http://hdl.handle.net/11375/20091	-
dc.description.abstract	<p> Several test statistics, which are known, can be used for testing for exponentiality. A new test statistic TE is proposed. TE is based on a censored sample and is similar to Tiku's T statistic for testing for normality. The distribution of TE tends to normality with increasing sample size. Besides, TE is easy to compute and is both origin and scale invariant. The power of TE for non-exponential distributions is comparable with Shapiro & Wilk statistic W-exponential. </p>	en_US
dc.language.iso	en	en_US
dc.subject	exponentiality	en_US
dc.subject	normality	en_US
dc.subject	scale invariant	en_US
dc.subject	non-exponential distributions	en_US
dc.title	Testing for Exponentiality	en_US
dc.contributor.department	Statistics	en_US
dc.description.degreetype	Thesis	en_US
dc.description.degree	Master of Science (MSc)	en_US
Appears in Collections:	Open Access Dissertations and Theses

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