The Bayesian revolution in statistics--where statistics is integrated with decision making in areas such as management, public policy, engineering, and clinical medicine--is here to stay. Introduction to Statistical Decision Theory states the case and in a self-contained, comprehensive way shows...

A procedure is presented to evaluate the appropriateness of alternative methodologies for analyzing a specified problem. This procedure is illustrated by identifying desirable characteristics of nuclear power plant site selection methodologies and evaluating the adequacy of methodologies that...

In this paper we develop a conceptual framework and model for valuing risks to an individual's health and life and to support decision making about investments in health, quality of life, and safety. Our treatment of health risks in the model builds on the popular quality-adjusted-life-year...

The modeling of many complex phenomena necessarily relies on numerous interrelated judgments. This paper illustrates an application of the concepts of multiattribute utility assessment, based on the professional judgments of one physician, to scale the trauma severity of injuries to individuals....