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Bayesian Theory - Jose M. Bernardo, Adrian F. M. Smith
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A thorough account of the key basic concepts and theoretical results, with emphasis on viewing statistical inference as a special case of decision theory. Assumed is a knowledge of advanced calculus. No measure theory is assumed. Textbooks New Books ~~ Mathematics~~ Probability & Statistics ~~ General Bayesian-Theory~~Jos-M-Bernardo Wiley Bayesian Theory is the first volume of a related series of three and will be followed by Bayesian Computation, and Bayesian Methods. The series aims to provide an up-to-date overview of the why?, how? and what? of Bayesian statistics. This volume provides a thorough account of key basic concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development, which provides, in particular, a detailed treatment of the problem of specification of so-called "prior ignorance". The work is written from the authors' committed Bayesian perspective, but an overview of non-Bayesian theories is provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material should be accessible to readers with a knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics.

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1994, ISBN: 0471924164, Lieferbar binnen 4-6 Wochen

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Internationaler Buchtitel. In englischer Sprache. Verlag: John Wiley & Sons, 608 Seiten, L=236mm, B=161mm, H=40mm, Gew.=1070gr, [GR: 16200 - HC/Mathematik], [SW: - Mathematics], Gebunden, Klappentext: Bayesian Theory is the first volume of a related series of three and will be followed by Bayesian Computation, and Bayesian Methods. The series aims to provide an up-to-date overview of the why?, how? and what? of Bayesian statistics. This volume provides a thorough account of key basic concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development, which provides, in particular, a detailed treatment of the problem of specification of so-called "prior ignorance". The work is written from the authors' committed Bayesian perspective, but an overview of non-Bayesian theories is provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material should be accessible to readers with a knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics.

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This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics José M. Bernardo, Adrian F. M. Smith, Books, Bayesian Theory Books, Wiley

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23,2 x 16,7 x 2,8 cm, Gebundene Ausgabe 608 Seiten Gebundene Ausgabe ex Library Book / aus einer wissenschafltichen Bibliothek / gebraucht; sehr gut, [PU:John Wiley & Sons Inc,]

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Details zum Buch
Bayesian Theory
Autor:

Bernardo, J. M.; Bernardo, Jose M.; Bernardo

Titel:

Bayesian Theory

ISBN-Nummer:

Bayesian Theory is the first volume of a related series of three and will be followed by Bayesian Computation, and Bayesian Methods. The series aims to provide an up-to-date overview of the why?, how? and what? of Bayesian statistics. This volume provides a thorough account of key basic concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development, which provides, in particular, a detailed treatment of the problem of specification of so-called "prior ignorance". The work is written from the authors' committed Bayesian perspective, but an overview of non-Bayesian theories is provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material should be accessible to readers with a knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics.

Detailangaben zum Buch - Bayesian Theory


EAN (ISBN-13): 9780471924166
ISBN (ISBN-10): 0471924164
Gebundene Ausgabe
Erscheinungsjahr: 1994
Herausgeber: John Wiley & Sons
608 Seiten
Gewicht: 1,070 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 12.05.2007 22:05:59
Buch zuletzt gefunden am 28.02.2017 17:33:38
ISBN/EAN: 0471924164

ISBN - alternative Schreibweisen:
0-471-92416-4, 978-0-471-92416-6


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