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[FW08]

W. W. Franklin and K. Preston White. Stationarity tests and MSER-5: exploring the intuition behind mean-squared-error-reduction in detecting and correcting initialization bias. In Winter Simulation Conference, 541–546. 2008. URL: http://www.informs-sim.org/wsc08papers/064.pdf, doi:10.1109/wsc.2008.4736111.

[HRD09]

K. Hoad, S. Robinson, and R. Davies. Automating warm-up length estimation. Journal of the Operational Research Society, 2009. URL: http://www.jstor.org/stable/40802258, doi:10.1057/jors.2009.87.

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Albert Madansky. Testing for independence of observations. In Prescriptions for Working Statisticians, pages 92–119. Springer New York, 1988. URL: http://dx.doi.org/10.1007/978-1-4612-3794-5_4, doi:10.1007/978-1-4612-3794-5_4.

[MTY+10]

Anup C. Mokashi, Jeremy J. Tejada, Saeideh Yousefi, Ali Tafazzoli, Tianxiang Xu, James R. Wilson, and Natalie M. Steiger. Performance comparison of MSER-5 and N-Skart on the simulation start-up problem. In Proceedings of the Winter Simulation Conference, 971–982. 2010. URL: http://www.ise.ncsu.edu/jwilson/files/mokashi10wsc.pdf.

[Spr98]

Stephen C. Spratt. An evaluation of contemporary heuristics for the startup problem. Master’s thesis, University of Virginia, 1998.

[TSW11]

Ali Tafazzoli, Natalie M. Steiger, and James R. Wilson. N-Skart: a nonsequential skewness- and Autoregression-Adjusted Batch-Means procedure for simulation analysis. IEEE Transactions on Automatic Control, 56(2):254–264, 2011. URL: http://dx.doi.org/10.1109/tac.2010.2052137, doi:10.1109/tac.2010.2052137.

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[vN41]

John von Neumann. Distribution of the ratio of the mean square successive difference to the variance. The Annals of Mathematical Statistics, 12(4):367–395, 1941. URL: http://www.jstor.org/stable/2235951, doi:10.1214/aoms/1177731677.

[WR10]

K. P. White and S. Robinson. The problem of the initial transient (again), or why MSER works. Journal of Simulation, 4(4):268–272, 2010. URL: http://dx.doi.org/10.1057/jos.2010.19, doi:10.1057/jos.2010.19.

[Whi97]

K. Preston White. An effective truncation heuristic for bias reduction in simulation output. Simulation, 69(6):323–334, 1997. URL: http://dx.doi.org/10.1177/003754979706900601, doi:10.1177/003754979706900601.

[WCS00]

K. Preston White, Michael J. Cobb, and Stephen C. Spratt. A comparison of five steady-state truncation heuristics for simulation. In Proceedings of the 32nd Conference on Winter Simulation, 755–760. 2000. URL: http://www.informs-sim.org/wsc00papers/099.PDF.

[Wil41]

J. D. Williams. Moments of the ratio of the mean square successive difference to the mean square difference in samples from a normal universe. The Annals of Mathematical Statistics, 12(2):239–241, 1941. URL: http://dx.doi.org/10.1214/aoms/1177731756, doi:10.1214/aoms/1177731756.