Showing papers on "Stochastic simulation published in 1971"
12 citations
TL;DR: In this paper, a method of random event generation is described that allows wide choices for the frequency distribution of the generated events in Lorentz-invariant phase space, and a method for generating random events is described.
12 citations
TL;DR: In this paper, the effect of the introduction of stochastic terms on the reliability of deterministic conclusions obtained from simulation is examined using an estimated market model, and two policy questions-the impact of imported surpluses and the management of government stocks of foodgrains-are examined in the context of simulation.
Abstract: HE CENTRAL inquiry of this paper is concerned with the effect of the introduction of stochastic terms on the reliability of deterministic conclusions obtained from simulation. Using an estimated market model,1 two policy questions-the impact of imported surpluses and the management of government stocks of foodgrains-are examined in the context of stochastic simulation. For each policy question three groups of simulation experiments are conducted and the results compared: (1) The model is used in its deterministic form; (2) random disturbance terms are added to the stochastic equations; (3) random disturbance terms are added to particular coefficients. In the analysis that follows only one aspect of each policy question is examined, and the results are not meant to supply all of the information that would be needed for a policy evaluation. However, the examples shed new light on the two questions and indicate the usefulness of stochastic simulation in the construction of confidence intervals around deterministic conclusions.
6 citations
TL;DR: The beneficial results obtained from the simulation of a batchchemical plant with series and parallel sets of discrete events are discussed, although details of the case are not provided for proprietary reasons.
Abstract: Chemical plants are usually very complex and simulation is increasingly being used to study the complex interactions that occur. This paper describes the simulation of a batchchemical plant with series and parallel sets of discrete events. Event duration is determined stochastically from prior probability distributions.This paper discusses the beneficial results obtained from such simulation in an actualcase, although details of the case are not provided for proprietary reasons. Some areas for extending this type of work are mentioned.
6 citations
01 Jun 1971
TL;DR: In this article, a model for simulation of correlated stochastic processes with stationary Gaussian properties is proposed, where the model is based on a deterministic deterministic linear model.
Abstract: Mathematical models for simulation of correlated stochastic processes with stationary Gaussian properties
3 citations
3 citations
2 citations
01 Oct 1971
TL;DR: In this article, a method for simulating a one-dimensional stationary stochastic process with a given autocorrelation function by a finite trigonometric sum is presented, where the coefficients of the latter are uncorrelated random numbers.
Abstract: : A method has been derived to simulate a one-dimensional stationary stochastic process with a given autocorrelation function by a finite trigonometric sum. The coefficients of the latter are uncorrelated random numbers. A rigorous estimate of the degree of approximation to the autocorrelation function is given. The method is quite general and does not require the power spectrum to be rational.
1 citations