References
- Capizzi, G. and Masarotto, G. (2011). “A Least Angle Regression Control Chart for Multidimensional Data”. Technometrics 53, pp. 285–296.
- Capizzi, G. and Masarotto, G. (2012). “Adaptive Generalized Likelihood Ratio Control Charts for Detecting Unknown Patterned Mean Shifts”. Journal of Quality Technology 44, pp. 281–303.
- Chakraborti, S.; Eryilmaz, S.; and Human, S. W. (2008). “A Phase II Non Parametric Control Chart Based on Precedence Statistics with Runs-Type Signaling Rules”. Computational Statistics and Data Analysis 53, pp. 1054–1065.
- Chakraborti, S.; Human, S.; and Graham, M. (2009). “Phase I Statistical Process Control Charts: An Overview and Some Results”. Quality Engineering 21, pp. 52–62.
- Chatterjee, S. and Qiu, P. (2009). “Distribution-Free Cumulative Sum Control Chart Using Bootstrap-Based Control Limits”. Annals of Applied Statistics 3, pp. 349–369.
- Fisher, R. A. (1935). The Design of Experiments. Edinburgh, UK: Oliver and Boyd.
- Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses, 3rd Edition. New York, NY: Springer.
- Graham, M. A.; Human, S. W.; and Chakraborti, S. (2010). “A Phase I Nonparametric Shewhart-Type Control Chart Based on the Median”. Journal of Applied Statistics 37, pp. 1795–1813.
- Harnish, P.; Nelson, B.; and Runger, G. (2009). “Process Partitions from Time-Ordered Clusters”. Journal of Quality Technology 41, pp. 3–17.
- Holm, S. (1979). “A Simple Sequentially Rejective Multiple Test Procedure”. Scandinavian Journal of Statistics 6, pp. 65–70.
- Jones-Farmer, L. and Champ, C. W. (2010). “A Distribution-Free Phase I Control Chart for Subgroup Scale”. Journal of Quality Technology 42, pp. 373–387.
- Jones-Farmer, L. A.; Jordan, V.; and Champ, C. W. (2009). “Distribution-Free Phase I Control Charts for Subgroup Location”. Journal of Quality Technology 41, pp. 304–316.
- Lehmann, E. L. and Romano, J. P. (2005). Testing Statistical Hypotheses, 3rd Edition. New York, NY: Springer.
- Montgomery, D. C. (2005). Introduction to Statistical Quality Control, 5th Edition. New York, NY: Wiley.
- Page, E. S. (1955). “A Test for Change in a Parameter Occurring At an Unknown Point”. Biometrika 42, pp. 523–527.
- Pesarin, F. (2001). Multivariate Permutation Tests : With Applications in Biostatistic. New York, NY: Wiley.
- Qiu, P. and Li, Z. (2011). “On Nonparametric Statistical Process Control of Univariate Processes”. Technometrics 53, pp. 390–405.
- R Development Core Team (2012). R: A Language and Environment for Statistical Computing. Vienna, Austria.
- Shewhart, W. A. (1939). Statistical Method from the Viewpoint of Quality Control. New York, NY: Dover Publications.
- Sullivan, J. H. (2002). “Detection of Multiple Change Points from Clustering Individual Observations”. Journal of Quality Technology 34, pp. 371–383.
- Sullivan, J. H. and Woodall, W. H. (1996). “A Control Chart for Preliminary Analysis of Individual Observations”. Journal of Quality Technology 28, pp. 265–278.
- Wei, W. W. S. (2006). Time Series Analysis: Univariate and Multivariate Methods, 2nd Edition. Redwood City, CA: Addison-Wesley.
- Woodall, W. H. (2000). “Controversies and Contradictions in Statistical Process Control”. Journal of Quality Technology 32, pp. 341–350.
- Zou, C.; Ning, X.; and Tsung, F. (2010). “LASSO-Based Multivariate Linear Profile Monitoring”. Annals of Operation Research 192, pp. 3–19.
- Zou, C. and Qiu, P. (2009). “Multivariate Statistical Process Control Using LASSO”. Journal of American Statistical Association 104, pp. 1586–1596.
- Zou, C. and Tsung, F. (2010). “Likelihood Ratio-Based Distribution-Free EWMA Control Chart”. Journal of Quality Technology 42, pp. 174–196.