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Restricted Parameter Space Estimation Problems (Record no. 425124)

MARC details
000 -LEADER
fixed length control field 04100nam a22004575i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9780387488097
-- 978-0-387-48809-7
024 7# -
-- 10.1007/978-0-387-48809-7
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- QA276-280
072 #7 -
-- PBT
-- bicssc
072 #7 -
-- MAT029000
-- bisacsh
072 #7 -
-- PBT
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Eeden, Constance van.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Restricted Parameter Space Estimation Problems
Medium [electronic resource] :
Remainder of title Admissibility and Minimaxity Properties /
Statement of responsibility, etc by Constance van Eeden.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York,
Date of production, publication, distribution, manufacture 2006.
300 ## -
-- X, 168 p.
-- online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- Lecture Notes in Statistics,
-- 0930-0325 ;
-- 188
505 0# -
-- Introduction: Some history and some examples -- A statement of the problem, the notation and some definitions -- (In)admissibility and dominators -- Minimax estimators and their admissibility -- Presence of nuisance parameters -- The linear model -- Other properties -- Existence of MLEs and algorithms to compute them.
520 ## -
-- 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 émérite at the Université de Montréal, Honorary Professor at The University of British Columbia, and Professeure associée at the Université du Québec à Montréal. She previously held appointments at the Centrum voor Wiskunde en Informatica (1951–1960), Michigan State University (1960–1961), University of Minnesota (1961–1965), and Université de Montréal (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 mathématiques du Québec (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 Département de mathématiques et de statistique at the Université de Montréal 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 American Statistical 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.
650 #0 -
-- Mathematical statistics.
650 14 -
-- Statistical Theory and Methods.
-- http://scigraph.springernature.com/things/product-market-codes/S11001
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9780387513553
776 08 -
-- Printed edition:
-- 9780387337470
830 #0 -
-- Lecture Notes in Statistics,
-- 0930-0325 ;
-- 188
856 40 -
-- https://doi.org/10.1007/978-0-387-48809-7
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)

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