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An improved standardized time series Durbin–Watson variance estimator for steady-state simulation

✍ Scribed by Demet Batur; David Goldsman; Seong-Hee Kim


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
414 KB
Volume
37
Category
Article
ISSN
0167-6377

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✦ Synopsis


We discuss an improved jackknifed Durbin-Watson estimator for the variance parameter from a steady-state simulation. The estimator is based on a combination of standardized time series area and Cramér-von Mises estimators. Various examples demonstrate its efficiency in terms of bias and variance compared to other estimators.