Characterizations of linear sufficient statistics

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dc.creatorRedner, Richard Alan
dc.date.accessioned2021-12-23T19:34:38Z
dc.date.available2021-12-23T19:34:38Z
dc.date.issued1977
dc.description.abstractIn this paper we characterize the continuous linear sufficient statistics for a dominated collection of measures on a Banach space. This is followed by a characterization of exponential families with emphasis on those measures on R[raised n] whose densities with respect to Lebesgue measure are multivariate normal densities. Finally, the relation between Bayes sufficiency and sufficient statistics is studied.
dc.description.departmentMathematics, Department of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other3908465
dc.identifier.urihttps://hdl.handle.net/10657/8429
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. §107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleCharacterizations of linear sufficient statistics
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCollege of Natural Sciences and Mathematics
thesis.degree.departmentMathematics, Department of
thesis.degree.disciplineMathematics
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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