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dc.contributor.advisorLongnecker, M. T.
dc.creatorLam, Frederic Che-Yue
dc.date.accessioned2020-08-21T21:31:16Z
dc.date.available2020-08-21T21:31:16Z
dc.date.issued1982
dc.identifier.urihttps://hdl.handle.net/1969.1/DISSERTATIONS-350116
dc.descriptionTypescript (photocopy).en
dc.description.abstractIn this dissertation, the Pyke-Shorack theorem for linear rank statistics is generalized to include testing for the equality of the marginal distributions in a bivariate population. This generalization is used to develop nonparametric tests which are not based on the differences of the pairs. By obtaining consistent estimators of the asymptotic variances, the tests are asymptotically distribution free. New test statistics are proposed for the location problem and for bivariate exponential data. Their powers and relative efficiencies are compared to classical tests under a variety of parent distributions.en
dc.format.extentvii, 99 leaves ;en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectStatisticsen
dc.subject.classification1982 Dissertation L213
dc.subject.lcshNonparametric statisticsen
dc.subject.lcshDistribution (Probability theory)en
dc.subject.lcshStochastic processesen
dc.subject.lcshMonte Carlo methoden
dc.titleNonparametric tests for homogeneity of the marginal distributions of paired dataen
dc.typeThesisen
thesis.degree.disciplinePhilosophyen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.namePh. D. in Philosophyen
thesis.degree.levelDoctorialen
dc.contributor.committeeMemberChui, C. K.
dc.contributor.committeeMemberParzen, E.
dc.contributor.committeeMemberWehrly, T. E.
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries
dc.identifier.oclc9795035


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