9783030021849 - shrinkage estimation (springer series in statistics) von fourdrinier, dominique; strawderman, william e.; wells, martin t. (5 Ergebnisse)
Shrinkage Estimation (Springer Series in Statistics)
Fourdrinier, Dominique; Strawderman, William E.; Wells, Martin T.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Springer Series in Statistics, Buch 151 von 160. Buch 151 von 160 - Springer Series in Statistics
- Hardcover
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Shrinkage Estimation (Springer Series in Statistics)
Dominique Fourdrinier, William E. Strawderman, Martin T. Wells
Sprache: Englisch
Verlag: Springer International Publishing, 2018
Serie: Springer Series in Statistics, Buch 151 von 160. Buch 151 von 160 - Springer Series in Statistics
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Gebundene Ausgabe. Zustand: Sehr gut. 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.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Springer Series in Statistics, Buch 151 von 160. Buch 151 von 160 - Springer Series in Statistics
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 63,44 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 es…timators 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.
Shrinkage Estimation
Fourdrinier, Dominique (Author)/ Strawderman, William E. (Author)/ Wells, Martin T. (Author)
Sprache: Englisch
Verlag: Springer, 2018
Serie: Springer Series in Statistics, Buch 151 von 160. Buch 151 von 160 - Springer Series in Statistics
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 333 pages. 9.25x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Springer Series in Statistics, Buch 151 von 160. Buch 151 von 160 - Springer Series in Statistics
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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