Bayesian Data Analysis, Second Edition by Andrew Gelman, John B. Carlin, Hal S. Stern & Donald B. Rubin
(Chapman & Hall/CRC Texts in Statistical Science)

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About Andrew Gelman, John B. Carlin, Hal S. Stern & Donald B. Rubin

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Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002). Carlin, University of Melbourne, Australia. Stern, Iowa State University, Ames. Professor Donald B. Rubin is the John L. Loeb Professor of Statistics in the Department of Statistics at Harvard University. Professor Rubin is a fellow of the American Statistical Association, the Institute for Mathematical Statistics, the International Statistical Institute, the Woodrow Wilson Society, the John Simon Guggenheim Society, the New York Academy of Sciences, the American Association for the Advancement of Sciences, and the American Academy of Arts and Sciences. He is also the recipient of the Samuel S. Wilks Medal of the American Statistical Association, the Parzen Prize for Statistical Innovation, and the Fisher Lectureship. Professor Rubin has lectured extensively throughout the United States, Europe, and Asia. He has over 300 publications (including several books) on a variety of statistical topics and is one of the top ten highly cited writers in mathematics in the world, according to ISI Science Watch.
Published February 20, 2009 by CRC Press. 696 pages
Genres: Science & Math, Professional & Technical. Non-fiction

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