Issue: 2016/Vol.26/No.3, Pages 57-68
ADVANCES IN ANTITHETIC TIME SERIES ANALYSIS: SEPARATING FACT FROM ARTIFACT
Cite as: D. Ridley. Advances in antithetic time series analysis: separating fact from artifact. Operations Research and Decisions 2016: 26(3), 57-68. DOI 10.5277/ord160304
The problem of biased time series mathematical model parameter estimates is well known to be insurmountable. When used to predict future values by extrapolation, even a de minimis bias will eventually grow into a large bias, with misleading results. This paper elucidates how combining antithetic time series’ solves this baffling problem of bias in the fitted and forecast values by dynamic bias cancellation. Instead of growing to infinity, the average error can converge to a constant.
Keywords: combining, antithetic, time series, bias correction, serial correlation
Received: 27 May 2016 Accepted: 13 September 2016