Tests for gamma distribution based on its independence property

dc.contributor.advisorPachitjanut Siripanichth
dc.contributor.authorBandhita Plubinth
dc.date.accessioned2022-05-09T04:40:46Z
dc.date.available2022-05-09T04:40:46Z
dc.date.issued2015th
dc.date.issuedBE2558th
dc.descriptionThesis (Ph.D. (Statistics))--National Institute of Development Administration, 2015th
dc.description.abstractThere are two test statistics proposed in this study in order to test whether data come from a gamma distribution. Both of the proposed test statistics are developed from a modified Kendall coefficient based on the independence property of a gamma distribution. The first one is asymptotically distributed as standard normal and the limit distribution function of the second one was improved using an Edgeworth expansion and the Jackknife method. They are invariant to scale parameters and perform substantially better than existing tests in terms of Type I error rate and test power, especially in cases with samples of moderate size.th
dc.format.extent96 leavesth
dc.format.mimetypeapplication/pdfth
dc.identifier.doi10.14457/NIDA.the.2015.58
dc.identifier.otherb191877th
dc.identifier.urihttps://repository.nida.ac.th/handle/662723737/5759th
dc.language.isoength
dc.publisherNational Institute of Development Administrationth
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.th
dc.subject.otherMathematicsth
dc.subject.otherStatistical distributionsth
dc.titleTests for gamma distribution based on its independence propertyth
dc.typetext--thesis--doctoral thesisth
mods.genreDissertationth
mods.physicalLocationNational Institute of Development Administration. Library and Information Centerth
thesis.degree.departmentSchool of Applied Statisticsth
thesis.degree.disciplineStatisticsth
thesis.degree.grantorNational Institute of Development Administrationth
thesis.degree.levelDoctoralth
thesis.degree.nameDoctor of Philosophyth

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