1 |
Choi, M. L. and Lee, J. (2014a). GLR charts for simultaneously monitoring a sustained shift and a linear drift in the process mean, Communications for Statistical Applications and Methods, 21, 69-80.
과학기술학회마을
DOI
|
2 |
Choi, M. L. and Lee, J. (2014b). A GLR chart for monitoring a zero-inflated Poisson process, The Korean Journal of Applied Statistics, 27, 345-355.
과학기술학회마을
DOI
|
3 |
Dong, Y., Hedayat, A. S. and Sinha, B. K. (2008). Surveillance strategies for detecting changepoint in incidence rate based on exponentially weighted moving average methods, Journal of the American Statistical Association, 103, 843-853.
DOI
|
4 |
Hawkins, D. M. and Olwell, D. H. (1998). Cumulative Sum Charts and Charting for Quality Improvement, New York, NY: Springer.
|
5 |
Mei, Y., Han, S. W. and Tsui, K. L. (2011). Early detection of a change in Poisson rate after accounting for population size effects, Statistica Sinica, 21, 597-624.
DOI
|
6 |
Reynolds, M. R. J. and Lou, J. (2010). An evaluation of a GLR control chart for monitoring the process mean, Journal of Quality Technology, 42, 287-310.
DOI
|
7 |
Reynolds, M. R. J., Lou, J., Lee, J. and Wang, S. (2013). The design of GLR control charts for monitoring the process mean and variance, Journal of Quality Technology, 45, 34-60.
DOI
|
8 |
Rossi, G., Lampugnani, L. and Marchi, M. (1999). An approximate CUSUM procedure for surveillance of health events, Statistics in Medicine, 18, 2111-2122.
DOI
|
9 |
Ryan, A. G. and Woodall, W. H. (2010). Control charts for Poisson count data with varying sample sizes, Journal of Quality Technology, 42, 260-275.
DOI
|
10 |
Yashchin, E. (1989). Weighted cumulative sum technique, Technometrics, 31, 321-338.
DOI
|