Skip to main navigation Skip to search Skip to main content

Folded standardized time series area variance estimators for simulation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We estimate the variance parameter of a stationary simulation-generated process using "folded" versions of standardized time series area estimators. We formulate improved variance estimators based on the combination of multiple folding levels as well as the use of batching. The improved estimators preserve the asymptotic bias properties of their predecessors but have substantially lower variance. A Monte Carlo example demonstrates the efficacy of the new methodology.

Original languageEnglish
Title of host publicationProceedings of the 2007 Winter Simulation Conference, WSC
Pages455-462
Number of pages8
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 Winter Simulation Conference, WSC - Washington, DC, United States
Duration: 9 Dec 200712 Dec 2007

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Conference

Conference2007 Winter Simulation Conference, WSC
Country/TerritoryUnited States
CityWashington, DC
Period9/12/0712/12/07

Fingerprint

Dive into the research topics of 'Folded standardized time series area variance estimators for simulation'. Together they form a unique fingerprint.

Cite this