Statistical Decision Theory: Estimation, Testing, and Selection (Springer Series in Statistics) Book + PRICE WATCH * Amazon pricing is not included in price watch

Statistical Decision Theory: Estimation, Testing, and Selection (Springer Series in Statistics) Book

Suitable for advanced graduate students and researchers in mathematical statistics and decision theory this title presents an account of the concepts and a treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory.Read More

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  • Product Description

    For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. The authors present a rigorous account of the concepts and a broad treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. With its broad coverage of decision theory, this book fills the gap between standard graduate texts in mathematical statistics and advanced monographs on modern asymptotic theory.

  • 0387731938
  • 9780387731933
  • F. Liese, Klaus-J. Miescke
  • 9 July 2008
  • Springer
  • Hardcover (Book)
  • 677
  • illustrated edition
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