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Restricted Parameter Space Estimation Problems: Admissibility and Minimaxity Properties

Restricted Parameter Space Estimation Problems: Admissibility and Minimaxity Properties

Restricted Parameter Space Estimation Problems: Admissibility and Minimaxity Properties Paperback / softback - 2006

by Constance Van Eeden

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Paperback / softback. New. This monograph is addressed to anyone interested in the subject of restrict- parameter-space estimation, and in particular to those who want to learn, or bring their knowledge up to date, about (in)admissibility and minimaxity problems for such parameter spaces.
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Details

  • Title Restricted Parameter Space Estimation Problems: Admissibility and Minimaxity Properties
  • Author Constance Van Eeden
  • Binding Paperback
  • Edition 1st
  • Condition New
  • Pages 168
  • Volumes 1
  • Language ENG
  • Publisher Springer, New York/ Berlin
  • Publication date 2006-09-21
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # A9780387337470
  • ISBN 9780387337470 / 0387337474
  • Weight 0.6 lbs (0.27 kg)
  • Dimensions 9.21 x 6.14 x 0.4 in (23.39 x 15.60 x 1.02 cm)
  • Category Mathematics
  • Library of Congress subjects Parameter estimation
  • Library of Congress Catalogue Number 2006924372
  • Dewey Decimal Code 519.544
  • Quantity available 10

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Reader reviews for Restricted Parameter Space Estimation Problems: Admissibility and Minimaxity Properties

From the publisher

This monograph is addressed to anyone interested in the subject of restricted-parameter-space estimation, and in particular to those who want to learn, or bring their knowledge up-to-date, about (in)admissibility and minimaxity problems for such parameter spaces.

From the rear cover

This monograph contains a critical review of 50 years of results on questions of admissibility and minimaxity of estimators of parameters that are restricted to closed convex subsets of Rk . It presents results of approximately 300 mostly-published papers on the subject, and points out relationships between them as well as open problems. The book does not touch on the subject of testing hypotheses for such parameter spaces. It does give an overview of known algorithms for computing maximum likelihood estimators under order-restrictions.

The book should be valuable as a reference for researchers and graduate students looking for what is known and unknown in the area of restricted parameter-space-estimation. It assumes a good knowledge of decision theory.

Constance van Eeden is Professeur mrite at the Universit de Montral, Honorary Professor at The University of British Columbia, and Professeure associe at the Universit du Qubec Montral. She previously held appointments at the Centrum voor Wiskunde en Informatica (1951-1960), Michigan State University (1960-1961), University of Minnesota (1961-1965), and Universit de Montral (1965-1989). She was a General Editor of Statistical Theory and Method Abstracts (1990-2004) and Associate Editor of the Annals of Statistics (1974-1977), The Canadian Journal of Statistics (1980-1994) and Annales des sciences mathmatiques du Qubec (1986-1998). She is a reviewer for Mathematical Reviews and a member of the Noether Award Committee. The Statistical Society of Canada awarded her their Gold Medal in 1990 and the Dpartement de mathmatiques et de statistique at the Universit de Montral named their yearly prize for the best-finishing undergraduate student in actuarial studies or statistics, the Prix Constance-van-Eeden. She is a Fellow of the Institute of Mathematical Statistics and of the AmericanStatistical Association, and an Elected Member of the International Statistical Institute. She (co-)authored 66 papers in refereed journals, as well as two books and (co-)supervised 14 PhD and 19 MSc students.

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