03952nam a22004215i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137040000900172082001400181100003100195245014200226264004600368300003200414336002600446337002600472338003900498347002400537490005100561505032400612520212500936650001603061650002903077650001603106650003603122710003403158773002003192776003603212830005103248856010303299942001203402999001703414952009903431978-0-387-48809-7DE-He21320260521091921.0cr nn 008mamaa100301s2006 xxu| s |||| 0|eng d a9780387488097 a997803874880977 a10.1007/978-0-387-48809-72doi cCICY04a519.52231 aEeden, Constance.eauthor.10aRestricted Parameter Space Estimation Problemsh[recurso electrónico] :bAdmissibility and Minimaxity Properties /cby Constance Eeden. 1aNew York, NY :bSpringer New York,c2006. aX, 167 p.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia arecurso en líneabcr2rdacarrier atext filebPDF2rda1 aLecture Notes in Statistics,x0930-0325 ;v1880 aIntroduction: 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. aThis 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. 0aSTATISTICS. 0aMATHEMATICAL STATISTICS.14aSTATISTICS.24aSTATISTICAL THEORY AND METHODS.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780387337470 0aLecture Notes in Statistics,x0930-0325 ;v18840uhttp://dx.doi.org/10.1007/978-0-387-48809-7zVer el texto completo en las instalaciones del CICY 2ddccER c33732d33732 00102ddc40708LEaCICYbCICYcELd2025-07-10l0o519.5r2025-07-10 08:40:02w2025-07-10yER