The following sources are referenced in Quality and Process Methods.
Agresti, A., and Coull, B. (1998). “Approximate is Better Than ‘Exact’ for Interval Estimation of Binomial Proportions.” The American Statistician 52:119–126.
American Society for Quality Statistics Division (2004). Glossary and Tables for Statistical Quality Control. 4th ed. Milwaukee, WI: ASQC Quality Press.
American Society for Testing and Materials (1976). ASTM Manual on Presentation of Data and Control Chart Analysis. Philadelphia: ASTM.
Automotive Industry Action Group (2002). Measurement Systems Analysis Reference Manual. 3rd ed. Troy, MI: Automotive Industry Action Group.
AIAG (2005). Statistical Process Control. 2nd ed. Troy, MI: Automotive Industry Action Group.
Barrentine, L. B. (1991). Concepts for R&R Studies. Milwaukee, WI: ASQC Quality Press.
Bissell, A. F. (1990). “How Reliable Is Your Capability Index?” Journal of the Royal Statistical Society, Series C 39:331–340.
Box, G. E. P, Luceño, A., and Paniagua-Quinones, M. d. C. (2009). Statistical Control by Monitoring and Adjustment. 2nd ed. New York: John Wiley & Sons.
Burdick, P. K., Borror, C. M., and Montgomery, D. C. (2005). Design and Analysis of Gauge R&R Studies: Making Decisions with Confidence Intervals in Random Mixed ANOVA Models. Philadelphia, PA and Alexandria, VA: SIAM and ASA.
Chou, Y.-M., Owen, D. B., and Borrego, S. A. (1990). “Lower confidence limits on process capability indices.” Journal of Quality Technology 22:223–229.
Crowder, S. V. (1987a). “A Simple Method for Studying Run-Length Distributions of Exponentially Weighted Moving Average Charts.” Technometrics 29:401–408.
Crowder, S. V. (1987b). “Average Run Lengths of Exponentially Weighted Moving Average Charts.” Journal of Quality Technology 29:401–408.
David, H. A. (1951). “Further Applications of Range to the Analysis of Variance.” Biometrika 38:393–407.
Fleiss, J. L. (1981). Statistical Methods for Rates and Proportions. New York: John Wiley & Sons.
Goel, A. L., and Wu, S. M. (1971). “Determination of A.R.L. and a Contour Nomogram for Cusum Charts to Control Normal Mean.” Technometrics 13:221–230.
Harter, H. L. (1960). “Tables of Range and Studentized Range.” Annals of Mathematical Statistics 31:1122–1147.
Hoffman, D. (2003). “Negative Binomial Control Limits for Count Data with Extra-Poisson Variation.” Pharmaceutical Statistics 2:127–132.
Jackson, J. E., and Mudholkar, G. S. (1979). “Quality Control Procedures for Residuals Associated with Principal Component Analysis.” Annals of Mathematical Statistics 25:290–302.
Knoth, S. (2004). “Fast Initial Response Features for EWMA Control Charts.” Statistical Papers 46:47–64.
Kourti, T., and MacGregor, J. F. (1996). “Multivariate SPC Methods for Process and Product Monitoring.” Journal of Quality Technology 28:409–428.
Levey, S., and Jennings, E. R. (1950). “The Use of Control Charts in the Clinical Laboratory.” American Journal of Clinical Pathology 20:1059–1066.
Li, G., Qin, S., Ji, Y., Zhou, D.(2009). “Total PLS Based Contribution Plots for Fault Diagnosis.” Acta Automatica Sinica 35:759 - 765.
Lucas, J. M. (1976). “The Design and Use of V–Mask Control Schemes.” Journal of Quality Technology 8:1–12.
Lucas, J. M., and Crosier, R. B. (1982). “Fast Initial Response for CUSUM Quality Control Schemes: Give Your CUSUM a Head Start.” Technometrics 24:199–205.
Meeker, W. Q., and Escobar, L. A. (1998). Statistical Methods for Reliability Data. New York: John Wiley & Sons.
Montgomery, D. C. (2013). Introduction to Statistical Quality Control. 7th ed. New York: John Wiley & Sons.
Montgomery, D. C., and Mastrangelo, C. M. (1991). “Some Statistical Process Control Methods for Autocorrelated Data.” Journal of Quality Technology 23:179–193.
Nair, V. N. (1984). “Confidence Bands for Survival Functions with Censored Data: A Comparative Study.” Technometrics 26:265–275.
Nelson, L. (1984). “The Shewhart Control Chart—Tests for Special Causes.” Journal of Quality Technology 15:237–239.
Nelson, L. (1985). “Interpreting Shewhart X Control Charts.” Journal of Quality Technology 17:114–116.
Nomikos, P., and MacGregor, J. F., (1995). “Multivariate SPC Charts for Monitoring Bach Processes.” Technometrics 37:41–59.
Pearn, W. L., and Kotz, S. (2006). Encyclopedia and Handbook of Process Capability Indices. Vol. 12 of Series on Quality, Reliability, and Engineering Statistics. New Jersey: World Scientific.
Portnoy, S. (1971). “Formal Bayes Estimation with Application to a Random Effects Model.” The Annals of Mathematical Statistics 42:1379–1402.
Sahai, H. (1974). “Some Formal Bayes Estimators of Variance Components in the Balanced Three-Stage Nested Random Effects Model.” Communication in Statistics – Simulation and Computation 3:233–242.
Slifker, J. F., and Shapiro, S. S. (1980). “The Johnson System: Selection and Parameter Estimation.” Technometrics 22:239–246.
Sullivan, J. H., and Woodall, W. H. (2000). “Change-point detection of mean vector or covariance matrix shifts using multivariate individual observations.” IIE Transactions 32:537–549.
Tracy, N. D., Young, J. C., and Mason, R. L. (1992). “Multivariate Control Charts for Individual Observations.” Journal of Quality Technology 24:88–95.
Westgard, J. O. (2002). Basic QC Practices. 2nd ed. Madison, WI: Westgard QC.
Wheeler, D. J. (2004). Advanced Topics in Statistical Process Control. 2nd ed. Knoxville, TN: SPC Press.
Wheeler, D. J. (2006). EMP III Using Imperfect Data. Knoxville, TN: SPC Press.
White, K., Szarka, J., and Jensen, W. (2018). “A Recommended Set of Indices for Evaluating Process Health.” Presentation at the 2018 Fall Technical Conference, sponsored by the American Statistical Association and the American Society for Quality.
Wludyka, P., and Sa, P. (2004). “A robust I-Sample analysis of means type randomization test for variances for unbalanced designs.” Journal of Statistical Computation and Simulation 74:701–726.
Woodall, W. H., and Adams, B. M. (1998). Handbook of Statistical Methods for Engineers and Scientists. 2nd ed. Chapter 7. New York: McGraw-Hill.