ABSTRACT
Risk assessment models come in a variety of types. Fate-transport, political, technical, financial, and other varieties of models can be constructed. Regardless of the application, risk can be evaluated by applying a wide range of technologies. Risk assessment itself can loosely be defined as the application of any technique that deals with probability in some technically sound manner. Some of the more popular risk assessment techniques applied are Bayesian analysis, discriminant-function analysis, factor analysis, neural nets, Monte Carlo analysis, and others. Although this book will concentrate primarily on Monte Carlo applications, I will here say a few words about some other popular technologies.
