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dc.contributor.authorLorenzo, Edgardo
dc.contributor.authorMalla, Ganesh B.
dc.contributor.authorMukerjee, Hari
dc.identifier.citationLorenzo, Edgardo; Malla, Ganesh B.; Mukerjee, Hari. 2015. A new test for new better than used in expectation lifetimes. Communications in Statistics - Theory and Methods, vol. 44:no. 23:pp 4927-4939en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThe mean residual life of a non negative random variable X with a finite mean is defined by M(t) = E[X - t | X > t] for t >= 0. A popular nonparametric model of aging is new better than used in expectation (NBUE), when M(t) <= M(0) for all t >= 0. The exponential distribution lies at the boundary. There is a large literature on testing exponentiality against NBUE alternatives. However, comparisons of tests have been made only for alternatives much stronger than NBUE. We show that a new Kolmogorov-Smirnov type test is much more powerful than its competitors in most cases.en_US
dc.publisherTaylor & Francis Groupen_US
dc.relation.ispartofseriesCommunications in Statistics - Theory and Methods;v.44:no.23
dc.subjectNew better than used in expectationen_US
dc.subjectHypothesis testen_US
dc.subjectAsymptotic propertiesen_US
dc.titleA new test for new better than used in expectation lifetimesen_US
dc.rights.holder© 2016 Taylor & Francis Group, an Informa Businessen_US

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