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A01=Bruno Chiandotto
A01=Silvia Bacci
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Age Group_Uncategorized
Author_Bruno Chiandotto
Author_Silvia Bacci
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Category1=Non-Fiction
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Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

English

By (author): Bruno Chiandotto Silvia Bacci

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory.

Features

  • Covers approaches for making decisions under certainty, risk, and uncertainty
  • Illustrates expected utility theory and its extensions
  • Describes approaches to elicit the utility function
  • Reviews classical and Bayesian approaches to statistical inference based on decision theory
  • Discusses the role of causal analysis in statistical decision theory
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Current price €107.09
Original price €118.99
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A01=Bruno ChiandottoA01=Silvia BacciAge Group_UncategorizedAuthor_Bruno ChiandottoAuthor_Silvia Bacciautomatic-updateCategory1=Non-FictionCategory=KCHSCategory=PBTCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Temporarily unavailablePrice_€100 and abovePS=Activesoftlaunch

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Product Details
  • Weight: 920g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Jul 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781138083561

About Bruno ChiandottoSilvia Bacci

Silvia Bacci is Assistant Professor of Statistics at the Department of Statistics Computer Science and Applications G. Parenti University of Florence (Italy). Her research interests are addressed to statistical decision theory with focus on utility theory and latent variable models with focus on item response theory models latent class models and models for longitudinal and multilevel data.Bruno Chiandotto is adjunct Full Professor of Statistics at the Department of Statistics Computer Science and Applications G. Parenti University of Florence (Italy). He is mainly interested in the definition and estimation of linear and nonlinear statistical models multivariate data analysis customer satisfaction causal analysis statistical decision theory and utility theory. A large part of his research activity has been carried out under projects funded by international national and local institutions.

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