Rethinking the Foundations of Statistics

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Joseph B. Kadane (Carnegie Mellon University, Pennsylvania) Mark J. Schervish (Carnegie Mellon University, Pennsylvania)

Rethinking the Foundations of Statistics

Joseph B. Kadane (Carnegie Mellon University, Pennsylvania), Mark J. Schervish (Carnegie Mellon University, Pennsylvania), Teddy Seidenfeld (Carnegie Mellon University, Pennsylvania) , Brian Skyrms

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English

Cambridge University Press
10 January 2000

Philosophy; Philosophy: logic; Probability & statistics

Series: Cambridge Studies in Probability, Induction and Decision Theory

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.

By: Joseph B. Kadane (Carnegie Mellon University Pennsylvania), Mark J. Schervish (Carnegie Mellon University, Pennsylvania), Teddy Seidenfeld (Carnegie Mellon University, Pennsylvania)
Series edited by: Brian Skyrms, Ernest W. Adams
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 158mm, Spine: 23mm
Weight: 657g
ISBN: 9780521649759
ISBN 10: 0521649757
Series: Cambridge Studies in Probability, Induction and Decision Theory
Pages: 400
Publication Date: 10 January 2000
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Reviews for Rethinking the Foundations of Statistics

""The material is well presented, and the authors themselves have made significant contributions to this area...should greatly appeal to philosophers, advanced graduate students, and researchers interested in exploring and researching the foundations of Bayesian statistics."" CHOICE