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Cover: 9780387960982 | Statistical Decision Theory and Bayesian Analysis | James O. Berger
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Statistical Decision Theory and Bayesian Analysis
Buch von James O. Berger
Sprache: Englisch

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Beschreibung
In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
Zusammenfassung
The interest in Bayesian statistics among theoretical and applied statisticians has increased dramatically in the last few years. This classic text and reference book remains one of the most important references.
Inhaltsverzeichnis
1 Basic Concepts.- 2 Utility and Loss.- 3 Prior Information and Subjective Probability.- 4 Bayesian Analysis.- 5 Minimax Analysis.- 6 Invariance.- 7 Preposterior and Sequential Analysis.- 8 Complete and Essentially Complete Classes.- Appendix 1 Common Statistical Densities.- I Continuous.- II Discrete.- Appendix 2 Supplement to Chapter 4.- II Development of (4.121) and (4.122).- III Verification of Formula (4.123).- Appendix 3 Technical Arguments from Chapter 7.- I Verification of Formula (7.8).- II Verification of Formula (7.10).- Notation and Abbreviations.- Author Index.
Details
Erscheinungsjahr: 1985
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Springer Series in Statistics
Inhalt: xvi
618 S.
ISBN-13: 9780387960982
ISBN-10: 0387960988
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Berger, James O.
Auflage: 2nd ed. 1985. 2nd printing 1985
Hersteller: Springer New York
Springer US, New York, N.Y.
Springer Series in Statistics
Maße: 241 x 160 x 40 mm
Von/Mit: James O. Berger
Erscheinungsdatum: 21.08.1985
Gewicht: 1,115 kg
Artikel-ID: 101827028
Zusammenfassung
The interest in Bayesian statistics among theoretical and applied statisticians has increased dramatically in the last few years. This classic text and reference book remains one of the most important references.
Inhaltsverzeichnis
1 Basic Concepts.- 2 Utility and Loss.- 3 Prior Information and Subjective Probability.- 4 Bayesian Analysis.- 5 Minimax Analysis.- 6 Invariance.- 7 Preposterior and Sequential Analysis.- 8 Complete and Essentially Complete Classes.- Appendix 1 Common Statistical Densities.- I Continuous.- II Discrete.- Appendix 2 Supplement to Chapter 4.- II Development of (4.121) and (4.122).- III Verification of Formula (4.123).- Appendix 3 Technical Arguments from Chapter 7.- I Verification of Formula (7.8).- II Verification of Formula (7.10).- Notation and Abbreviations.- Author Index.
Details
Erscheinungsjahr: 1985
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Springer Series in Statistics
Inhalt: xvi
618 S.
ISBN-13: 9780387960982
ISBN-10: 0387960988
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Berger, James O.
Auflage: 2nd ed. 1985. 2nd printing 1985
Hersteller: Springer New York
Springer US, New York, N.Y.
Springer Series in Statistics
Maße: 241 x 160 x 40 mm
Von/Mit: James O. Berger
Erscheinungsdatum: 21.08.1985
Gewicht: 1,115 kg
Artikel-ID: 101827028
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