A former library book with all the expected stamps, stickers and markings. Some shelf, storage or usage wear present. The binding is tight and all pages are present. Does not appear to have come with a dustjacket originally. The pages appear unmarked. Pictures available upon request. Individually inspected by Shay. Thanks for supporting an independent bookseller!

N� de ref. del art�culo FBV.0471270202.G

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Detalles bibliogr�ficos

T�tulo: Introduction to Bayesian Statistics
Editor: Wiley-Interscience
Fecha de publicaci�n: 2004
Idioma: Ingl�s
ISBN 10: 0471270202
ISBN 13: 9780471270201
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: good

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Sinopsis

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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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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