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dc.contributor.authorJanssen, Paulen_US
dc.contributor.authorSwanepoel, Jan
dc.contributor.authorVeraverbeke, Noël
dc.date.accessioned2010-08-04T15:37:40Z
dc.date.available2010-08-04T15:37:40Z
dc.date.issued2009en_US
dc.identifier.citationJanssen, P. et al. 2009. New tests for exponentiality against new better than used in pth quantile. Journal of nonparametric statistics, 21(1):85-97. [http://dx.doi.org/10.1080/10485250802454953]en_US
dc.identifier.issn1048-5252
dc.identifier.issn1029-0311 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/3514
dc.identifier.urihttp://dx.doi.org/10.1080/10485250802454953
dc.identifier.urihttp://www.tandfonline.com/doi/abs/10.1080/10485250802454953
dc.description.abstractA new characterisation of the exponential distribution in a wide class of new better than used in pth quantile (NBUp) lifetime distributions is presented. This leads to new classes of scale-free goodness-of-fit tests for exponentiality against NBUp alternatives. The limiting distributions of the test statistics under the null and alternative hypotheses are derived and the tests are shown to be consistent against NBUp alternatives. Pitman efficacies are calculated and a limited Monte Carlo study is conducted to compare the tests with regard to power for small and moderate sample sizes against a range of alternative distributions. On the basis of overall good performance and ease of computation, a member of the class of test statistics which is based on the sample Winsorised mean is recommended as a scale-free goodness-of-fit test for the exponential distribution
dc.publisherTaylor & Francis
dc.subjectCharacterisation
dc.subjectExponential distribution
dc.subjectHazard rate function
dc.subjectNew better than used in pth quantile
dc.subjectTesting
dc.subjectU-quantile
dc.subjectWinsorised mean
dc.titleNew tests for exponentiality against new better than used in pth quantileen_US
dc.contributor.researchID10177507 - Swanepoel, Jan Willem Hendrik


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