Shrinkage Estimation (Springer Series in Statistics)

Language: English

Published by Springer International Publishing, 2018

303002184X / 9783030021849

Series: Book 151 of 160 - Springer Series in Statistics

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Gebraucht - Sehr gut SG - Ungelesenes Mängelexemplar, gestempelt, mit leichten Lagerspuren - This book provides a coherent framework for understanding shrinkage estimation in statistics. The term refers to modifying a classical estimator by moving it closer to a target which could be known a priori or arise from a model. The goal is to construct estimators with improved statistical properties. The book focuses primarily on point and loss estimation of the mean vector of multivariate normal and spherically symmetric distributions. Chapter 1 reviews the statistical and decision theoretic terminology and results that will be used throughout the book. Chapter 2 is concerned with estimating the mean vector of a multivariate normal distribution under quadratic loss from a frequentist perspective. In Chapter 3 the authors take a Bayesian view of shrinkage estimation in the normal setting. Chapter 4 introduces the general classes of spherically and elliptically symmetric distributions. Point and loss estimation for these broad classes are studied in subsequent chapters. In particular, Chapter 5 extends many of the results from Chapters 2 and 3 to spherically and elliptically symmetric distributions. Chapter 6 considers the general linear model with spherically symmetric error distributions when a residual vector is available. Chapter 7 then considers the problem of estimating a location vector which is constrained to lie in a convex set. Much of the chapter is devoted to one of two types of constraint sets, balls and polyhedral cones. In Chapter 8 the authors focus on loss estimation and data-dependent evidence reports. Appendices cover a number of technical topics including weakly differentiable functions; examples where Stein's identity doesn't hold; Stein's lemma and Stokes' theorem for smooth boundaries; harmonic, superharmonic and subharmonic functions; and modified Bessel functions.…

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Title
Shrinkage Estimation (Springer Series in Statistics)
Author
Dominique Fourdrinier, William E. Strawderman, Martin T. Wells
Publisher
Springer International Publishing
Publication year
2018
Condition
Sehr gut
Binding
Gebundene Ausgabe
Language
English
ISBN 10
303002184X
ISBN 13
9783030021849
Item weight
688 grams
Dimensions
241x160x24 mm
Series
Book 151 of 160: Springer Series in Statistics

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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