Elementary Decision Theory

This well-respected introduction to statistics and statistical theory covers data processing, probability and random variables, utility and descriptive statisti

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

Paul Weirich generalizes classical decision principles so that they apply to fallible, cognitively limited agents facing complex decision problems. His systemat

Decision theory is generally taught in one of two very different ways. When of opti taught by theoretical statisticians, it tends to be presented as a set of ma

Every day decision making in complex human-centric systems are characterized by imperfect decision-relevant information. The principal problems with the existin

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

A compilation of different approaches--normative, descriptive,and prescriptive--develops this integrated analysis of decision-making that emphasizes the contrib

They then examine the Bernoulli, Poisson, and Normal (univariate and multivariate) data generating processes.

Human decision making involves problems which are being studied with increasing interest and sophistication. They range from controversial political decisions v

Reflecting the latest developments in Microsoft Office Excel 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: Q