A MONG THE TOOLS available to the simulation user, variance reduction techniques have from their inception held considerable attraction.
Oct 1, 1979 · This paper describes three variance reduction models that use this interchange between collection and evolution to induce negative correlation ...
Most variance reduction techniques encountered in simulations are designed to operate with stationary models. However, many simulations are nonstationary in ...
This paper describes three variance reduction models that use this interchange between collection and evolution to induce negative correlation between ...
In this paper we describe three methods of variance reduction applicable to population growth models. K'del I in Section 2 outlines a method appro- priate ...
Variance reduction techniques have been shown by others in the past to be a use- ful tool to reduce variance in Simulation studies.
When the concern is for statistical efficiency of results that are random variables, such approaches are usually called variance reduction techniques (VRTs).
This tutorial introduces some basic concepts of variance reduction, and uses a new taxonomy of VRTS as the basis for an algorithm to select appropriate VRTs for ...
Missing: Growth | Show results with:Growth
Abstract. Demographic stochasticity is almost universally modeled as sampling var- iance in a homogeneous population, although it is defined as arising from ...
Missing: Simulation | Show results with:Simulation
Dec 15, 2020 · Dynamic Monte Carlo (DMC) simulation of realistic nuclear reactors requires powerful variance reduction methods for even a few seconds of ...
Missing: Growth | Show results with:Growth