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Complex Datasets and Inverse Problems: Tomography, Networks and Beyond
Language: English
Published by Inst Of Mathematical Statistic, 2007
ISBN 10: 0940600706 ISBN 13: 9780940600706
US$ 19.26
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Add to basketCondition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780940600706.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Stein Estimation (JSS Research Series in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 60.27
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Stein Estimation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Stein Estimation
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 68.45
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Introduction to Bayesian Methods in Ecology and Natural Resources
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 76.21
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Condition: New. pp. 140.
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Introduction to Bayesian Methods in Ecology and Natural Resources
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 76.20
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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US$ 87.38
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Add to basketPaperback. Condition: Brand New. 138 pages. 9.25x6.10x0.30 inches. In Stock.
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Statistics in the 21st Century (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Book 11 of 110: ISSNLanguage: English
Published by Chapman and Hall/CRC, 2001
ISBN 10: 1584882727 ISBN 13: 9781584882725
paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Introduction to Bayesian Methods in Ecology and Natural Resources
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 84.39
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US$ 106.13
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Add to basketHardcover. Condition: Brand New. 195 pages. 9.25x6.10x0.63 inches. In Stock.
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Condition: Good. Exact ISBN match. Immediate shipping. No funny business.
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US$ 113.04
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Add to basketPaperback. Condition: Brand New. 195 pages. 9.25x6.10x0.43 inches. In Stock.
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Stein Estimation
Language: English
Published by Springer Nature Singapore, 2023
ISBN 10: 9819960762 ISBN 13: 9789819960767
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book provides a self-contained introduction of Stein/shrinkage estimation for the mean vector of a multivariate normal distribution. The book begins with a brief discussion of basic notions and results from decision theory such as admissibility, minimaxity, and (generalized) Bayes estimation. It also presents Stein's unbiased risk estimator and the James-Stein estimator in the first chapter. In the following chapters, the authors consider estimation of the mean vector of a multivariate normal distribution in the known and unknown scale case when the covariance matrix is a multiple of the identity matrix and the loss is scaled squared error. The focus is on admissibility, inadmissibility, and minimaxity of (generalized) Bayes estimators, where particular attention is paid to the class of (generalized) Bayes estimators with respect to an extended Strawderman-type prior. For almost all results of this book, the authors present a self-contained proof. The book is helpful for researchers and graduate students in various fields requiring data analysis skills as well as in mathematical statistics.
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Stein Estimation
Language: English
Published by Springer Nature Singapore, 2023
ISBN 10: 9819960762 ISBN 13: 9789819960767
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides a self-contained introduction of Stein/shrinkage estimation for the mean vector of a multivariate normal distribution. The book begins with a brief discussion of basic notions and results from decision theory such as admissibility, minimaxity, and (generalized) Bayes estimation. It also presents Stein's unbiased risk estimator and the James-Stein estimator in the first chapter. In the following chapters, the authors consider estimation of the mean vector of a multivariate normal distribution in the known and unknown scale case when the covariance matrix is a multiple of the identity matrix and the loss is scaled squared error. The focus is on admissibility, inadmissibility, and minimaxity of (generalized) Bayes estimators, where particular attention is paid to the class of (generalized) Bayes estimators with respect to an extended Strawderman-type prior. For almost all results of this book, the authors present a self-contained proof. The book is helpful for researchers and graduate students in various fields requiring data analysis skills as well as in mathematical statistics.
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Shrinkage Estimation (Springer Series in Statistics)
Book 151 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 159.88
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US$ 142.77
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Add to basketHardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Shrinkage Estimation (Springer Series in Statistics)
Book 151 of 160: Springer Series in StatisticsLanguage: English
Published by Springer International Publishing, 2018
ISBN 10: 303002184X ISBN 13: 9783030021849
Gebundene Ausgabe. Condition: 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.
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Condition: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.
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US$ 270.49
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Add to basketHardcover. Condition: Brand New. 333 pages. 9.25x6.25x0.75 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 138 pages. 9.25x6.10x0.30 inches. In Stock. This item is printed on demand.
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Condition: New. Print on Demand pp. 140.
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Condition: New. PRINT ON DEMAND pp. 140.
