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- catalog abstract ""A Bayesian "posterior distribution" or "predictive distribution" summarizes everything you need to know about an unknown parameter, or future observations. This unique book shows how to use Bayesian statistical techniques in a sound and practically relevant manner. It will guide the reader on inferring scientific, medical, and social conclusions from numerical data. The authors explain the subtle assumptions needed for Bayesian methodology and show how to use them to obtain good-quality conclusions. The methods also perform remarkably well in terms of computer-simulated frequency properties." "The book contains numerous worked examples, self-study exercises, and practical applications. It provides essential reading for final-year undergraduates, Masters-degree and graduate students, statisticians, and other interdisciplinary researchers wishing to develop good-quality conclusions from their data and to pursue the notion of scientific truth."--BOOK JACKET.".
- catalog contributor b11411201.
- catalog contributor b11411202.
- catalog created "1999.".
- catalog date "1999".
- catalog date "1999.".
- catalog dateCopyrighted "1999.".
- catalog description ""A Bayesian "posterior distribution" or "predictive distribution" summarizes everything you need to know about an unknown parameter, or future observations. This unique book shows how to use Bayesian statistical techniques in a sound and practically relevant manner. It will guide the reader on inferring scientific, medical, and social conclusions from numerical data. The authors explain the subtle assumptions needed for Bayesian methodology and show how to use them to obtain good-quality conclusions. The methods also perform remarkably well in terms of computer-simulated frequency properties." "The book contains numerous worked examples, self-study exercises, and practical applications. It provides essential reading for final-year undergraduates, Masters-degree and graduate students, statisticians, and other interdisciplinary researchers wishing to develop good-quality conclusions from their data and to pursue the notion of scientific truth."--BOOK JACKET.".
- catalog description "Includes bibliographical references (p. 303-319) and indexes.".
- catalog description "Introductory statistical concepts -- The discrete version of Bayes' theorem -- Models with a single unknown parameter -- The expected utility hypothesis and its alternatives -- Models with several unknown parameters -- Prior structures, posterior smoothing, and Bayes-Stein estimation -- Guide to worked examples -- Guide to self-study exercises.".
- catalog extent "xiv, 333 p. :".
- catalog identifier "0521594170 (hardback)".
- catalog isPartOf "Cambridge series in statistical and probabilistic mathematics".
- catalog isPartOf "Cambridge series on statistical and probabilistic mathematics.".
- catalog issued "1999".
- catalog issued "1999.".
- catalog language "eng".
- catalog publisher "Cambridge, U.K. ; New York : Cambridge University Press,".
- catalog subject "519.5/42 21".
- catalog subject "Bayesian statistical decision theory.".
- catalog subject "QA279.5 .L45 1999".
- catalog tableOfContents "Introductory statistical concepts -- The discrete version of Bayes' theorem -- Models with a single unknown parameter -- The expected utility hypothesis and its alternatives -- Models with several unknown parameters -- Prior structures, posterior smoothing, and Bayes-Stein estimation -- Guide to worked examples -- Guide to self-study exercises.".
- catalog title "Bayesian methods : an analysis for statisticians and interdisciplinary researchers / Thomas Leonard, John S.J. Hsu.".
- catalog type "text".