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Synopsis
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. In Bayesian statistics the rules of probability are used to make inferences about the parameter. Prior information about the parameter and sample information from the data are combined using Bayes theorem. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. This book uniquely covers the topics usually found in a typical introductory statistics book but from a Bayesian perspective.
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About the Author
WILLIAM M. BOLSTAD, PhD, is a Senior Lecturer in the Department of Statistics at the University of Waikato, New Zealand. He holds degrees from the University of Missouri, Stanford University, and the University of Waikato, New Zealand.
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Introduction to Bayesian Statistics
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Wiley-Interscience (edition 1), 2004
ISBN 10: 0471270202
ISBN 13: 9780471270201
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Introduction to Bayesian Statistics
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Introduction to Bayesian Statistics
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Hardcover. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. Fourth Printing. Book is clean and tight. Statistics. Has index; 6.25 X 0.75 X 9.25 inches; 354 pages. Seller Inventory # 9922
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Understanding Computational Bayesian Statistics
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hardcover. Condition: Good. Seller Inventory # 0471270202-3-37269815
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PARTITION AND ADSORPTION OF ORGANIC CONTAMINANTS IN ENVIRONMENTAL SYSTEMS
Published by
Wiley-Interscience / A John Wiley & Sons, Inc, 2002
ISBN 10: 0471270202
ISBN 13: 9780471270201
Used
Hardcover
First Edition
Seller: Frey Fine Books, Rougemont, NC, U.S.A.
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Hardcover. Condition: Near Fine. 1st edition. 1st edition, with full number line. A Near Fine copy. 8vo., x, 257 pp., illustrated with charts, graphs, and diagrams. Bound in dark green paper boards, with white lettering. Light shelf wear. Seller Inventory # 31899