Search Results - subject:"Simulation."

The Lessons of Looking Glass: Management Simulations and the Real World of Action

Van Velsor, Ellen; Ruderman, Marian; Dianne Phillips, A. - In: Leadership & Organization Development Journal 10 (1989) 6, pp. 27-31

What people learn during a widely used management simulation is considered. The learning data are used to examine the … value of behavioural simulation, by comparing what managers report learning to data on behaviours found essential to …

Persistent link: https://www.econbiz.de/10014923961

Developing and using scenarios – assisting business decisions

Becker, Harold S. - In: Journal of Business & Industrial Marketing 4 (1989) 1, pp. 61-70

Examines the characteristics and use of scenario planning as a way for businesses to cope with the future and to assist in business planning. Demonstrates several different purposes for scenarios; provides a general approach for constructing scenarios; outlines some of the roles for managers in...

Persistent link: https://www.econbiz.de/10014843452

Economics of Voting: Theories and Evidence

Struthers, John; Young, Alistair - In: Journal of Economic Studies 16 (1989) 5

In seeking to extend rational choice theory from “market” to “political” behaviour, economists have encountered a paradox: namely, that the act of voting itself appears to be inconsistent with the assumption of rationality. This is true not only when self‐interest is assumed, but also...

Persistent link: https://www.econbiz.de/10014863838

THE MCKIBBIN-SACHS GLOBAL (MSG) MODEL.

MCKIBBIN, W.J.; SACHS, J.D. - Brookings Institution - 1989

Persistent link: https://www.econbiz.de/10005660602

DYNAMIC POLICY SIMULATION OF LINEAR MODELS WITH RATIONAL EXPECTATIONS OF FUTURE EVENTS: A COMPUTER PACKAGE.

MARKINK; A.J.; VAN DER PLOEG.F - CentER for Economic Research, Universiteit van Tilburg - 1989

Persistent link: https://www.econbiz.de/10005207460

The Parameter Iteration Method in Dynamic Programming

Gal, Shmuel - In: Management Science 35 (1989) 6, pp. 675-684

state variable is overcome by means of an iterative method which combines simulation and recursive estimation to compute …

Persistent link: https://www.econbiz.de/10009191514

Sensitivity Analysis from Sample Paths Using Likelihoods

Heidelberger, Philip; Towsley, Don - In: Management Science 35 (1989) 12, pp. 1475-1488

used on a sample path from a real system. The method is also applicable to simulation studies of certain real time control …

Persistent link: https://www.econbiz.de/10009191931

Importance Sampling for Stochastic Simulations

Glynn, Peter W.; Iglehart, Donald L. - In: Management Science 35 (1989) 11, pp. 1367-1392

algorithms for estimating integrals. The basic idea is to replace the original random mechanism in the simulation by a new one … simulation of stochastic systems. Discrete-time Markov chains, continuous-time Markov chains, and generalized semi …

Persistent link: https://www.econbiz.de/10009197671

Planning Queueing Simulations

Whitt, Ward - In: Management Science 35 (1989) 11, pp. 1341-1366

Simple heuristic formulas are developed to estimate the simulation run lengths required to achieve desired statistical …-state characteristics such as expected equilibrium queue lengths. The formulas can be applied to design simulation experiments to develop … addition to indicating the approximate simulation run length required in each case of a designed experiment, the formulas can …

Persistent link: https://www.econbiz.de/10009203776

Estimation of Multiresponse Simulation Metamodels Using Control Variates

Nova, Acácio M. De O. Porta; Wilson, James R. - In: Management Science 35 (1989) 11, pp. 1316-1333

This paper provides a unified development of the method of control variates for simulation experiments in which the … objective is estimation of a multiresponse metamodel---that is, a linear model for an output vector of simulation performance … applied to multipopulation, multiresponse simulation experiments. Assuming that the responses and controls are jointly normal …

Persistent link: https://www.econbiz.de/10009214606