Introduction to Bayesian Statistics - Hardcover

Bolstad, William M.

Hardcover

ISBN 10: 0471270202 ISBN 13: 9780471270201

Verlag: John Wiley & Sons Inc, 2004

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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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Traditionally, introductory statistics courses have been taught from a frequentist perspective. The recent upsurge in the use of Bayesian methods in applied statistical analysis highlights the need to expose students early on to the Bayes theorem, its advantages, and its applications. Based on the author s successful courses, Introduction to Bayesian Statistics introduces statistics from a Bayesian perspective in a way that is understandable to readers with a reasonable mathematics background.

Covering most of the same ground found in a typical statistics book but from a Bayesian perspective Introduction to Bayesian Statistics offers thorough, clearly–explained discussions of:

• Scientific data gathering, including the use of random sampling methods and randomized experiments to make inferences on cause–effect relationships
• The rules of probability, including joint, marginal, and conditional probability
• Discrete and continuous random variables
• Bayesian inferences for means and proportions compared with the corresponding frequentist ones
• The simple linear regression model analyzed in a Bayesian manner

To assist in the understanding of Bayesian statistics, this introduction provides readers with exercises (with selected answers); summaries of main points from each chapter; a calculus refresher, and a summary on the use of statistical tables; and R functions and Minitab macros for Bayesian analysis and Monte Carlo simulations (downloadable from the associated Web site)

Details zur Ausgabe

• Verlag: John Wiley & Sons Inc
• Erscheinungsdatum: 2004
• Sprache: Englisch
• ISBN 10: 0471270202
• ISBN 13: 9780471270201
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 384
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar