Stochastic Methods in Risk Analysis

Stochastic methods in reliability and risk management

This volume focuses on stochastic methods developed for reliability modeling and risk analysis. Reliability theory and risk analysis have been closely related, and stochastic methods that are commonly used in both fields serve as a natural conduit through which useful concepts and best practices can migrate from one field to the other. This special volume highlights this convergence of reliabil...

An economic-risk analysis of alternative rotations by stochastic simulation in Fars province

ABSTRACT - Cultivation of legumes in crop rotations results in atmosphere nitrogen fixation. After harvesting, part of this external nitrogen remains in soil and is used by subsequent crops. This implies that producers would gain from lowering the amount of nitrogen fertilizer in their fields. In this study, stochastic simulation is used to generate probability distributions of net present valu...

Decision criteria in risk analysis : an application of stochastic dominance with respect to a function

Stochastic Population Methods in Analysis of Epidemics

Epidemics of infective diseases can be naturally regarded as a parade problem in population dynamics. Understanding the time–evolution and fundamental interactions of different subpopulations (infected, immune, carriers, etc.) is a key instrument to devise sustainable and effective treatments, as far as this is possible. In this application we will focus on vector diseases, i.e., infections (fr...

Risk-Reward Analysis in Stochastic Dynamic Programming

Stochastic dynamic programming models are extensively used for sequential decision making when outcomes are uncertain. These models have been widely applied in different business contexts such as inventory control, capacity expansion, cash management, etc. The objective in these models is to deduce optimal policies based on expected reward criteria. However, in many cases, managers are concerne...