Inception and Development at the University of Virginia
This algorithm has been initiated and developed at the University of Virginia and there are key research articles:
- Maclarnon (1990)
The inception of MSER — Marginal Confidence Rule was an initial rule to figure out a truncation point
- White and Minnox (1994)
To minimize the half width of the marginal confidence interval about the truncated sample mean
- Rossetti et al. (1995)
Proposed an extension of MSER.
- Spratt (1998)
Applied the batch mean approach to mitigate serial correlations between output series and introduced MSER-5
- Franklin et al.(2009)
Empirical relationship of MSER to the Mean Squared Error (MSE) of a sample mean
- Mahajan and Ingalls (2004)
They evaluated and compared the performances among the five detection methods of a warm-up period and suggested that MSER-5 outperformed others in the most cases.
- Oh and Park (2006)
Online detection based on exponential variation rate (EVR) rule was compared with MSER and they concluded MSER performed better
- Bertoli, Casale, and Serazzi (2007, 2009)
Developed and implemented Java module of MSER-5.
- Hoad et al. (2008)
Up-to-date and the most comprehensive literature review on output analysis of simulation.
- Pasupathy and Schmeiser(2010)
After they showed MSER statistics mathematically confirmed to the MSE criteria in output analysis, they agreed with the general usage of MSER to truncate initial output.
- Hoad and Robinson (2011)
First trial of implementing MSER on SIMUL8
- Hoad et al. (2011)
Provided a general framework to run automatic output analyzer in the support of MSER-5.
- Sanchez and White, Jr. (2011)
After truncating different initial points based on MSER, they showed that relplication/deletion with MSER-truncation using a weighted scheme created a better interval estimation.