Comparison of estimators of standard deviation, mean moving range and median moving range to estimate process standard deviation using autocorrelated data
Independence of observations is a fundamental assumption in designing an X chart for individual observations. But unfortunately, the assumption of existence of independent data is not even approximately satisfied. In fact, there is one kind of autocorrelation in the data. This paper demonstrates, through simulating an AR(1) process, that the autocorrelation in the data has deep effect on X chart. Moreover, estimators of standard deviation, mean moving range and median moving range to estimate process standard deviation are introduced. Among the cited estimators, the best of them is considered to estimate process standard deviation using autocorrelated data. Finally, two new estimators are presented to estimate process standard deviation using autocorrelated data.
Kalantari, M., & Fatemi Ghomi, S. (2010). Comparison of estimators of standard deviation, mean moving range and median moving range to estimate process standard deviation using autocorrelated data. Advances in Industrial Engineering, 44(1), -.
MLA
Mehdi Kalantari; S.M.T. Fatemi Ghomi. "Comparison of estimators of standard deviation, mean moving range and median moving range to estimate process standard deviation using autocorrelated data". Advances in Industrial Engineering, 44, 1, 2010, -.
HARVARD
Kalantari, M., Fatemi Ghomi, S. (2010). 'Comparison of estimators of standard deviation, mean moving range and median moving range to estimate process standard deviation using autocorrelated data', Advances in Industrial Engineering, 44(1), pp. -.
VANCOUVER
Kalantari, M., Fatemi Ghomi, S. Comparison of estimators of standard deviation, mean moving range and median moving range to estimate process standard deviation using autocorrelated data. Advances in Industrial Engineering, 2010; 44(1): -.
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