. First, a decision problem is defined. Next, the conjoint analysis method and its connections with ANOVA as well as …

sets simulated for Full Signal Detection Theory and its special cases of standard Signal Detection Theory and Complementary … Signal Detection Theory. …

preferences beyond the classical concept of expected utility theory. The thesis contains four main chapters.The first two chapters … dependence compared to classical models of expected utility theory. It is shown that some empirical puzzles concerning … utility theory are met. It is shown that the methodological concerns are empirically relevant when a classification of …

likely decision. We conclude that expert judgment should not be used for predicting decisions that people will make in … conflicts. When decision makers ask experts for their opinions, they are likely to overlook other, more useful, approaches. …

Substantial evidence indicates that information is distorted during decision making. However, no studies have assessed … information in the direction of their preferred decision alternative and used these biased evaluations to update their preferences …

Substantial evidence indicates that information is distorted during decision making. However, no studies have assessed … probability information in the direction of their preferred decision alternative and used these biased evaluations to update their …

the designated use? To address this question I used a combination of water quality modeling and decision analysis to … nutrient criteria variables, I applied a decision-analytic approach to nutrient criteria setting in North Carolina. I developed … level would be the choice that maximized the expected value. Using the preferences of North Carolina environmental decision …

information theory and to well-founded decision models when framed in an expected utility maximization context. In applications …Probability forecasts play an important role in many decision and risk analysis applications. Research and practice …, may it come from experts, models or data, become important to the decision maker. In this regard, strictly proper scoring …