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dc.contributor.authorFranke, Richard
dc.contributor.authorJayachandran, Toke
dc.dateTechnical Report for Period January-March 1980
dc.date.accessioned2013-03-07T21:54:28Z
dc.date.available2013-03-07T21:54:28Z
dc.date.issued1980
dc.identifier.urihttp://hdl.handle.net/10945/30226
dc.description.abstractWe investigate the power properties of a new goodness-of-fit test proposed by Foutz (1980). This new test is compared with the Chi squared test and the Kolmogorov-Smirnov (K-S) test for normality when the samples come from (i) the family of asymmetric stable distributions, (ii) mixtures of normal distributions, and (iii) the Pearson family. The general conclusion is that the new test performs better than the Chi squared and the K-S test when the parent distribution is heavy-tailed. If the hypothesized distribution differs from the true distribution in location only, the new test does not do as well as the other two.en_US
dc.description.sponsorshipsupported in part by the Foundation Research Program of the Naval Postgraduate Schoolen_US
dc.description.urihttp://archive.org/details/studyofpropertie00fran
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.lcshMathematical statisticsen_US
dc.titleA study of the properties of a new goodness-of-fit testen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.subject.authorGoodness-of-Fit testsen_US
dc.subject.authorChi squared testen_US
dc.subject.authorK-S testen_US
dc.subject.authorFoutz testen_US
dc.subject.authorpower comparisonen_US
dc.subject.authorrandom stable distributionsen_US
dc.subject.authorPearson's distributions, mixtures of normalsen_US
dc.description.funderfunds provided by the Chief of Naval Researchen_US
dc.identifier.npsreportNPS-53-80-003


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