„The general tenor of this book is good and it should serve well asa text for an introductory statistics course taught from a Bayesianperspective.“ (Biometrics, September 2008)
„Like the first edition, this edition is useful and effective inteaching Bayesian inference at both elementary and intermediatelevels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. It is both concise andtimely, and provides a good collection of overviews and reviews ofimportant tools used in Bayesian statistical methods.(Technometrics, November 2008)
“Like the first edition, this edition is useful and effective inteaching Bayesian inference at both elementary and intermediatelevels. It is a well-written book on elementary Bayesianinference, and the material is easily accessible. It is bothconcise and timely, and provides a good collection of overviews andreviews of important tools used in Bayesian statistical methods.„(Technometrics, November 2008)
“Highly recommended. Upper-division undergraduates; graduatestudents; professionals." (CHOICE, April 2008)
Introduction to Bayesian Statistics
von William M. BolstadPraise for the First Edition
„I cannot think of a better book for teachers of introductorystatistics who want a readable and pedagogically sound text tointroduce Bayesian statistics.“
--Statistics in Medical Research
„[This book] is written in a lucid conversational style, whichis so rare in mathematical writings. It does an excellent job ofpresenting Bayesian statistics as a perfectly reasonable approachto elementary problems in statistics.“
--STATS: The Magazine for Students of Statistics, AmericanStatistical Association
„Bolstad offers clear explanations of every concept and methodmaking the book accessible and valuable to undergraduate andgraduate students alike.“
--Journal of Applied Statistics
The use of Bayesian methods in applied statistical analysis hasbecome increasingly popular, yet most introductory statistics textscontinue to only present the subject using frequentist methods. Introduction to Bayesian Statistics, Second Edition focuseson Bayesian methods that can be used for inference, and it alsoaddresses how these methods compare favorably with frequentistalternatives. Teaching statistics from the Bayesian perspectiveallows for direct probability statements about parameters, and thisapproach is now more relevant than ever due to computer programsthat allow practitioners to work on problems that contain manyparameters.
This book uniquely covers the topics typically found in anintroductory statistics book--but from a Bayesianperspective--giving readers an advantage as they enter fieldswhere statistics is used. This Second Edition provides:
* Extended coverage of Poisson and Gamma distributions
* Two new chapters on Bayesian inference for Poisson observationsand Bayesian inference for the standard deviation for normalobservations
* A twenty-five percent increase in exercises with selectedanswers at the end of the book
* A calculus refresher appendix and a summary on the use ofstatistical tables
* New computer exercises that use R functions and Minitab®macros for Bayesian analysis and Monte Carlo simulations
Introduction to Bayesian Statistics, Second Edition is aninvaluable textbook for advanced undergraduate and graduate-levelstatistics courses as well as a practical reference forstatisticians who require a working knowledge of Bayesianstatistics.
„I cannot think of a better book for teachers of introductorystatistics who want a readable and pedagogically sound text tointroduce Bayesian statistics.“
--Statistics in Medical Research
„[This book] is written in a lucid conversational style, whichis so rare in mathematical writings. It does an excellent job ofpresenting Bayesian statistics as a perfectly reasonable approachto elementary problems in statistics.“
--STATS: The Magazine for Students of Statistics, AmericanStatistical Association
„Bolstad offers clear explanations of every concept and methodmaking the book accessible and valuable to undergraduate andgraduate students alike.“
--Journal of Applied Statistics
The use of Bayesian methods in applied statistical analysis hasbecome increasingly popular, yet most introductory statistics textscontinue to only present the subject using frequentist methods. Introduction to Bayesian Statistics, Second Edition focuseson Bayesian methods that can be used for inference, and it alsoaddresses how these methods compare favorably with frequentistalternatives. Teaching statistics from the Bayesian perspectiveallows for direct probability statements about parameters, and thisapproach is now more relevant than ever due to computer programsthat allow practitioners to work on problems that contain manyparameters.
This book uniquely covers the topics typically found in anintroductory statistics book--but from a Bayesianperspective--giving readers an advantage as they enter fieldswhere statistics is used. This Second Edition provides:
* Extended coverage of Poisson and Gamma distributions
* Two new chapters on Bayesian inference for Poisson observationsand Bayesian inference for the standard deviation for normalobservations
* A twenty-five percent increase in exercises with selectedanswers at the end of the book
* A calculus refresher appendix and a summary on the use ofstatistical tables
* New computer exercises that use R functions and Minitab®macros for Bayesian analysis and Monte Carlo simulations
Introduction to Bayesian Statistics, Second Edition is aninvaluable textbook for advanced undergraduate and graduate-levelstatistics courses as well as a practical reference forstatisticians who require a working knowledge of Bayesianstatistics.
