Variance Reduction

A.A.N. Ridder; Z.I. Botev

doi:10.1002/9781118445112.stat07975

Variance Reduction

Amsterdam Business Research Institute

Research output: Chapter in Book / Report / Conference proceeding › Entry for encyclopedia/dictionary › Academic › peer-review

Abstract

Increased computer speed and memory have encouraged simulation analysts to develop ever more realistic stochastic models. Despite these advancements in computing hardware, the most significant gains in the speed of stochastic simulation are still the result of methodological advances and clever algorithmic design. In this article, we survey a few of the most important methods for variance reduction and speedup that will benefit any simulation, no matter what the capabilities of the computing hardware are.

Original language	English
Title of host publication	Wiley StatsRef: Statistics Reference Online
Publisher	Wiley
Pages	1-6
Number of pages	6
Edition	Living
ISBN (Electronic)	9781118445112
DOIs	https://doi.org/10.1002/9781118445112.stat07975
Publication status	Published - 15 Nov 2017

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Variance Reduction

Abstract

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