We investigate the decision heuristics used by experts to forecast that early-stage ventures are subsequently … flaws and positive factors to arrive at a forecast. A conjunctive model is used to describe their process, which sums "good …

We study the important problem of how to assure credible forecast information sharing between a supplier and a … possesses private forecast information for her end product. We address how different contracts affect the supplier's capacity … explicit formulae) to enable credible forecast information sharing. The first is a nonlinear capacity reservation contract …

global warming policies. Because there are typically profound uncertainties in these models, a simulation approach is often …

portfolios of credit-sensitive assets such as loans and corporate bonds. Monte Carlo simulation is an important tool for … performing computations in these models. This paper develops, analyzes, and evaluates two simulation algorithms for intensity … Zeevi, stochastic models and simulation.</i> …

Sequential sampling problems arise in stochastic simulation and many other applications. Sampling is used to infer the …, as is common in the literature. <i>This paper was accepted by Assaf Zeevi, stochastic models and simulation.</i> …

. The emphasis is on the practical problems and potential of applying the method in the simulation of complex systems. The …

We continue our survey of methods for constructing confidence intervals for steady-state means via simulation by … studying sequential procedures which determine the length of the simulation during the course of the run. Our goal is to … provide the simulation practitioner with some guidance as to which published procedures might actually perform well in …

Consider a stochastic system of such complexity that its performance can only be evaluated by using simulation or …

concomitant variables that are defined on each input process sampled during a queueing simulation. In this paper we present an …