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KOLMOGOROV-SMIRNOV, LILLIEFORS AND SHAPHIRO-WILK TESTS FOR NORMALITY

dc.contributor.authorGenceli, Mehmet
dc.date.accessioned2026-06-27T13:00:17Z
dc.date.issued2007
dc.description.abstractThe normality assumption has been at the core of a majority of standard statistical procedures and it is important to be able to test this assumption. Therefore testing normality has attracted broad interest of statisticians for decades. Among many procedures used to test this assumption one of the most well-known test is the Kolmogorov-Smirrnov test for univariate normal distributions. But interest in this topic was accelerated by the Shaphiro-Wilk test of normality. Due to the fact that the Turkish statistical literature is lacking from these tests the main interest of this paper to introduce these tests in question.en
dc.identifier.eissn1304-7191
dc.identifier.endpage328
dc.identifier.issn1304-7205
dc.identifier.issue4
dc.identifier.startpage306
dc.identifier.urihttps://hdl.handle.net/20.500.14981/48854
dc.identifier.volume25
dc.identifier.wos000219478300001
dc.language.isotur
dc.publisherYILDIZ TECHNICAL UNIV
dc.relation.ispartofSIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
dc.subjectUnivariate normal distribution
dc.subjectnormality tests
dc.subjectKolmogorov-Smirnov and Lilliefors tests of normality
dc.subjectShaphiro-Wilk test
dc.subjectEngineering
dc.titleKOLMOGOROV-SMIRNOV, LILLIEFORS AND SHAPHIRO-WILK TESTS FOR NORMALITY
dc.typeReview
dspace.entity.typePublication
local.import.sourceWOS

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