HERMES-Catalog

Introduction to statistical decision theory : utility theory and causal analysis / Silvia Bacci, Bruno Chiandotto

Publisher	(Boca Raton, FL : CRC Press)
Year	2020
Authors	*Bacci, Silvia author Chiandotto, Bruno author

Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00178772		Taylor & Francis eBooks (電子ブック)	9781315112220

Material Type	E-Book
Media type	機械可読データファイル
Size	1 online resource
Notes	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 OCLC-licensed vendor bibliographic record HTTP:URL=https://www.taylorfrancis.com/books/9781315112220 Information=Taylor & Francis HTTP:URL=http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf Information=OCLC metadata license agreement
Subjects	LCSH:Statistical decision LCSH:Mathematical statistics LCSH:Statistics FREE:MATHEMATICS / Probability & Statistics / General
Classification	LCC:QA279.4 DC23:519.5
ID	8000080718
ISBN	9781315112220