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

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

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

Ira Horowitz Depending upon one's perspective, the need to choose among alternatives can be an unwelcome but unavoidable responsibility, an exciting and challen

Mathematics in Science and Engineering, Volume 39: Statistical Decision Theory in Adaptive Control Systems focuses on the combination of control theory with sta