An Admissibility Condition for a Least Squares Estimator in the Class of Polynomial Estimators

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Previous article Next article An Admissibility Condition for a Least Squares Estimator in the Class of Polynomial EstimatorsA. V. KakosyanA. V. Kakosyanhttps://doi.org/10.1137/1123023PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] A. M. Kagan and , O. V. Šalaevskii˘, The admissibility of least square estimates is an exclusive property of the normal law, Mat. Zametki, 6 (1969), 81–89, (In Russian.) MR0248935 Google Scholar[2] A. M. Kagan, Theory of estimation for families with shift, scale and exponential parameters, Trudy Mat. Inst. Steklov., 104 (1968), 19–87, (In Russian.) MR0269007 Google Scholar[3] J. W. Linnik, Method of least squares and principles of the theory of observations, Translated from the Russian by Regina C. Elandt; edited by N. L. Johnson, Pergamon Press, New York, 1961xii+360 MR0124121 0112.11105 Google Scholar[4] A. V. Kakosyan, On the theory of estimating parameters in a linear regression scheme, Proceedings of Scientific Seminars, LOMI, Vol. 53, 1975, 118–129, (In Russian.) Google Scholar Previous article Next article FiguresRelatedReferencesCited ByDetails Volume 23, Issue 1| 1978Theory of Probability & Its Applications1-226 History Submitted:07 April 1976Published online:17 July 2006 InformationCopyright © 1978 Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1123023Article page range:pp. 201-206ISSN (print):0040-585XISSN (online):1095-7219Publisher:Society for Industrial and Applied Mathematics