Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
James O. Berger presents a focused work on statistical decision theory and Bayesian analysis. Published in the Springer Series in Statistics, this scholarly volume brings together two foundational areas for readers studying mathematical statistics, decision-making methods, and Bayesian approaches.
About This Book
Statistical Decision Theory and Bayesian Analysis explores two closely related areas of statistical thought.
Written by James O. Berger, the book addresses decision theory and Bayesian analysis in a unified scholarly context.
Published in the Springer Series in Statistics, it is suited to readers seeking a focused reference on these mathematical and statistical subjects.
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