An Introduction to Decision Theory

An Introduction to Decision Theory
Author: Martin Peterson
Publisher: Cambridge University Press
Total Pages: 351
Release: 2017-03-30
Genre: Business & Economics
ISBN: 1107151597

Download An Introduction to Decision Theory Book in PDF, Epub and Kindle

A comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.


An Introduction to Decision Theory
Language: en
Pages: 351
Authors: Martin Peterson
Categories: Business & Economics
Type: BOOK - Published: 2017-03-30 - Publisher: Cambridge University Press

GET EBOOK

A comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.
Decision Theory with a Human Face
Language: en
Pages: 351
Authors: Richard Bradley
Categories: Business & Economics
Type: BOOK - Published: 2017-10-26 - Publisher: Cambridge University Press

GET EBOOK

Explores how decision-makers can manage uncertainty that varies in both kind and severity by extending and supplementing Bayesian decision theory.
Decision Theory
Language: en
Pages: 416
Authors: Giovanni Parmigiani
Categories: Business & Economics
Type: BOOK - Published: 2009-05-26 - Publisher: John Wiley & Sons

GET EBOOK

Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a cor
Statistical Decision Theory and Bayesian Analysis
Language: en
Pages: 633
Authors: James O. Berger
Categories: Mathematics
Type: BOOK - Published: 2013-03-14 - Publisher: Springer Science & Business Media

GET EBOOK

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hie
Theory of Games and Statistical Decisions
Language: en
Pages: 388
Authors: David A. Blackwell
Categories: Mathematics
Type: BOOK - Published: 2012-06-14 - Publisher: Courier Corporation

GET EBOOK

Evaluating statistical procedures through decision and game theory, as first proposed by Neyman and Pearson and extended by Wald, is the goal of this problem-or