). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty … theory and chance theory. Chapter 2 presents a comprehensive review and discussion of basic DEA models. The stochastic DEA is … uncertain DEA. In order to evaluate the DMUs in which uncertainty and randomness appear simultaneously, the hybrid DEA based on …

Risk: Is There a Unique Objective Measure? -- Expected Utility Theory -- Stochastic Dominance Decision Rules … Distributions -- Almost Stochastic Dominance (ASD) -- Stochastic Dominance and Risk Measures -- Stochastic Dominance and … Dominance Approach -- Non-Expected Utility and Stochastic Dominance -- Stochastic Dominance and Prospect Theory -- Multivariate …

version is then expanded by introducing cost and demand shocks and uncertainty. The latter enters the model via second order … uncertainty - regarding growth and inflation expectations - can lead to lower nominal interest rates set by the central bank … persistent shocks and uncertainty · Comparative statics and a wide range of numerical simulations · Mathematical concepts and …

This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this … prospect theory and its modified version, cumulative prospect theory. Each approach is discussed and compared. In addition …This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this …

-Risikos für IT-Projekte -- Dimensionen der Risikoanalyse auf Grundlage eines „Project Risk Models“ aus der Praxis -- Empirische … Erhebung zur Ermittlung relevanter Risiko- und Maßnahmengrößen -- Risikoanalyse unter Verwendung der Monte …

Electricity Markets -- Stochastic Programming Fundamentals -- Uncertainty Characterization via Scenarios -- Risk … Uncertainty: Wind Energy …Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity …

-V analysis; Sensitivity of optimal debt and risk to alternative stochastic processes, Early Warning Signals -- Application of …Stochastic Optimal Control (SOC)-a mathematical theory concerned with minimizing a cost (or maximizing a payout …) pertaining to a controlled dynamic process under uncertainty-has proven incredibly helpful to understanding and predicting debt …