Analyzing near-normal data using a new class of skew distributions

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dc.contributor.authorElsalloukh, Hassan
dc.date.accessioned2024-07-12T20:49:52Z
dc.date.available2024-07-12T20:49:52Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractA family of distributions, which was first introduced by OHagan and Leonard in 1976 for Bayesian analysis of normal means and was later investigated in detail by Azzalini in 1985 and 1986, is modified leading to a new class of asymmetric distributions. A new score test is derived for detecting non-normality within the new class of asymmetric distributions. Then, the new score test is applied on two examples of real data sets within the new class of asymmetric distributions to detect non-normality. Maximum likelihood estimators are used to fit the data with a skew distribution and compared to studies in which researchers used the normal distribution.en_US
dc.identifier.citationElsalloukh, H. (2009). Analyzing near-normal data using a new class of skew distributions. Maltepe Üniversitesi. s. 193.en_US
dc.identifier.endpage194en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage193en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2247
dc.institutionauthorElsalloukh, Hassan
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07574
dc.titleAnalyzing near-normal data using a new class of skew distributionsen_US
dc.typeConference Object
dspace.entity.typePublication

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