000			01428 a2200193 4500
999			_c660990 _d660990
008			200320b ||||| |||| 00| 0 eng d
020			_a9781138083561
082			_a519.5 _bBAC
100			_aBacci, Silvia
245			_aIntroduction to statistical decision theory: _butility theory and causal analysis
260			_bCRC Press _c2020 _aBoca Raton, FL
300			_axvi, 287 pages: illustrations (black and white); 25 cm
520			_a"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."
600			_aChiandotto, Bruno
650			_aStatistical decision
650			_aMathematical statistics
650			_aStatistics
942			_2ddc _cB