Partially Complete Sufficient Statistics Are Jointly Complete

dc.contributor.authorKagan, A. M.
dc.contributor.authorMalinovsky, Yaakov
dc.contributor.authorMattner, L.
dc.date.accessioned2024-11-14T15:18:32Z
dc.date.available2024-11-14T15:18:32Z
dc.date.issued2015
dc.description.abstractThe theorem formulated in the title (surprisingly, the result has been overlooked for many years) complements the theory of sufficient statistics in the part related to Lehmann--Scheffé completeness. Two proofs of the main result are given: The first, analytical, follows Landers and Rogge [Scand. J. Statist., 3 (1976), p. 139], while the second, purely statistical, uses the theory of optimal unbiased estimation in a relatively little known version completed by Schmetterer and Strasser [Anz. Österreich. Akad. Wiss. Math.-Naturwiss. Kl., 1974, no. 6, pp. 59--66]. Connections to previous results are discussed and illustrative examples are presented.
dc.description.sponsorshipThis work was supported by a 2013 UMBC Summer Faculty Fellowship grant.
dc.description.urihttps://epubs.siam.org/doi/abs/10.1137/S0040585X97T987223
dc.format.extent16 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2edf4-xxom
dc.identifier.citationKagan, A. M., Y. Malinovsky, and L. Mattner. “Partially Complete Sufficient Statistics Are Jointly Complete.” Theory of Probability & Its Applications 59, no. 3 (January 2015): 359–74. https://doi.org/10.1137/S0040585X97T987223.
dc.identifier.urihttps://doi.org/10.1137/S0040585X97T987223
dc.identifier.urihttp://hdl.handle.net/11603/36932
dc.language.isoen_US
dc.publisherSIAM
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics and Statistics Department
dc.relation.ispartofUMBC Faculty Collection
dc.rights© 2015, Society for Industrial and Applied Mathematics.
dc.titlePartially Complete Sufficient Statistics Are Jointly Complete
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-2888-674X

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