Testing Exponentiality Against IDMRL Distributions with Unknown Change Point

dc.contributor.author	Hawkins, D. L.	en
dc.contributor.author	Loader, Clive	en
dc.contributor.author	Kochar, Subhash	en
dc.date.accessioned	2010-06-08T17:24:20Z	en
dc.date.available	2010-06-08T17:24:20Z	en
dc.date.issued	1991	en
dc.identifier.uri	http://hdl.handle.net/10106/2387	en
dc.description.abstract	Please note that the full text is embargoed ABSTRACT: Guess, Hollander and Proschan (1986) proposed tests for exponentiality versus IDMRL (increasing initially and then decreasing mean residual life) distributions when the change point, or corresponding quantile, is known. In this paper we propose two tests which do not require such knowledge of the change point. The tests are based on estimates of functionals of the cdf which discriminate between the exponential and IDMRL families.	en
dc.language.iso	en_US	en
dc.publisher	University of Texas at Arlington	en
dc.relation.ispartofseries	Technical Report;279	en
dc.subject	Change point	en
dc.subject	Cumulative distribution function	en
dc.subject	Estimates of functionals	en
dc.subject.lcsh	Mathematical statistics	en
dc.subject.lcsh	Mathematics Research	en
dc.title	Testing Exponentiality Against IDMRL Distributions with Unknown Change Point	en
dc.type	Technical Report	en
dc.publisher.department	Department of Mathematics	en