References for the Supplemental Text Material
- Acosta- Meejia, C. J. (1999), “Improved P Charts to Monitor Process Quality”, IIE Transactions, Vol. 31, pp. 509-516.
- Aerne, L. A., Champ, C. W., and Rigdon, S. E. (1991), “Evaluation of Control Charts Under Linear Trend”, Communications in Statistics: Theory and Methods, Vol. 20, No. 10, pp. 3341-3349.
- Andrews, H. P. (1964). “The Role of Statistics in Setting Food Specifications”, Proceedings of the Sixteenth Annual Conference of the Research Council of the American Meat Institute, pp. 43-56. Reprinted in Experiments in Industry: Design, Analysis, and Interpretation of Results, eds. R. D. Snee, L. B. Hare and J. R. Trout, American Society for Quality Control, Milwaukee, WI 1985.
- Bain, L. J., and Engelhardt, M. (1987), Introduction to Probability and Mathematical Statistics, 2nd edition, PWS-Kent, Boston, MA.
- Barton, R. R. (1997). “Pre-experiment Planning for Designed Experiments: Graphical Methods”, Journal of Quality Technology, Vol. 29, pp. 307-316.
- Barton, R. R. (1998). “Design-plots for Factorial and Fractional Factorial Designs”, Journal of Quality Technology, Vol. 30, pp. 40-54.
- Barton, R. R. (1999). Graphical Methods for the Design of Experiments, Springer Lecture Notes in Statistics 143, Springer-Verlag, New York.
- Baxley, R. V., Jr. (1995), “An Application of Variable Sampling Interval Control Charts”, Journal of Quality Technology, Vol. 27, pp. 275-282.
- Bishop, T., Petersen, B. and Trayser, D. (1982). “Another Look at the Statistician’s Role in Experimental Planning and Design”, The American Statistician, Vol. 36, pp. 387-389.
- Bissell, D. (1994), Statistical Methods for SPC and TQM, Chapman and Hall, London.
- Box, G. E. P. and S. Jones (1992). “Split-Plot Designs for Robust Product Experimentation”. Journal of Applied Statistics, Vol. 19, pp. 3-26.
- Champ, C. W., and Rigdon, S. E. (1991), “A Comparison of the Markov Chain and the Integral Equation Approaches for Evaluating the Run Length Distribution of Quality Control Charts”, Communications in Statistics: Simulation and Computation, Vol. 20, No. 1, pp. 191-204.
- Champ, C. W., and Rigdon, S. E. (1997), “An Analysis of the Run Sum Control Chart”, Journal of Quality Technology, Vol. 29, pp. 407-417.
- Charnes, J. M., and Gitlow, H. S. (1995), “Using Control Charts to Corroborate Bribery in Jaialai”, The American Statistician, Vol. 49, pp. 386-389.
- Ciminera, J. L., and Lease, M. P. (1992), “Developing Control Charts to Review and Monitor Medication Errors”, Hospital Pharmacy, Vol. 27, p. 192.
- Czitrom, V., and Reece, J. E. (1997). “Virgin Versus Recycled Wafers for Furnace Qualification: Is the Expense Justified?” in V. Czitrom and P. D. Spagon (eds), Statistical Case Studies for Industrial Process Improvement, pp. 87-104, Society for Industrial and Applied Mathematics, Philadelphia, PA.
- David, H. A. (1951), “Further Applications of the Range to Analysis of Variance”, Biometrika, Vol. 38, pp. 393-407
- Davis, R. B., Homer, A., and Woodall, W. H. (1990), “Performance of the Zone Control Chart”, Communications in Statistics: Theory and Methods, Vol. 19, pp. 1581-1587.
- Dolezal, K. K., Burdick, R. K., and Birch, N. J. (1998), “Analysis of a Two-Factor R & R Study with Fixed Operators”, Journal of Quality Technology, Vol. 30, pp. 163-170.
- Duncan, A.J. (1955), “The Use of the Range in Computing Variabilities”, Industrial Quality Control, Vol. 9, No. 5, pp. 18-22. (Clarification and Further Comment, Vol. 11, No. 8, p. 70; Errata, Vol. 12, No. 2, p. 36).
- Finison, L. J., Spencer, M., and Finison, K. S. (1993), “Total Quality Measurement in Health Care: Unsing Individuals Charts in Infection Control”, pp. 349-359, in ASQC Quality Congress Transactions, ASQC, Milwaukee, WI.
- Grant, E. L. and Leavenworth, R. S. (1996), Statistical Quality Control, 7th Edition, McGraw-Hill, New York.
- Hahn, G. J. (1977). “Some Things Engineers Should Know About Experimental Design”, Journal of Quality Technology, Vol. 9, pp. 13-20.
- Hahn, G. J. (1984). “Experimental Design in a Complex World”, Technometrics, Vol. 26, pp. 19-31.
- Hamada, M., and Weerahandi, S. (2000), “Measurement Systems Assessment via Generalized Inference”, Journal of Quality Technology, Vol. 32, pp. 241-253.
- Herath, H. S. B., Park, C. S., and Prueitt, G. C. (1995), “Monitoring Projects using Cash Flow Control Charts”, The Engineering Economist, Vol. 41, pp. 27.
- Hinkley, D. V. (1970), “Inference About the Change-Point in a Sequence of Random Variables”, Biometrika, Vol. 57, pp. 1-17.
- Hogg, R. V., and Craig, A. T. (1978), Introduction to Mathematical Statistics, 4th edition, Macmillan, New York.
- Howarth, R. J. (1995), “Quality Control Charting for the Analytical Laboratory: Part 1. Univariate Methods”, Analyst, Vol. 120, pp. 1851-1873.
- Hunter, W. G. (1977). “Some Ideas About Teaching Design of Experiments With 25 Examples of Experiments Conducted by Students”, The American Statistician, Vol. 31, pp. 12-17.
- Hurwicz, A., and Spagon P. D. (1997), “Identifying Sources of Variation in a Wafer Planarization Process”, in V. Czitrom and P. D. Spagon (eds), Statistical Case Studies for Industrial Process Improvement, pp. 105-144, Society for Industrial and Applied Mathematics, Philadelphia, PA.
- Jaehn, A. H. (1987), “Zone Control Charts – SPC Made Easy”, Quality, Vol. 26 (October), pp. 51-53.
- Jin, C., and Davis, R. B. (1991), “Calculation of Average Run lengths for Zone Control Charts With Specified Zone Scores”, Journal of Quality Technology, Vol. 23, pp. 355-358.
- Klein, M. (2000), “Two Alternatives to the Shewhart Control Chart”, Journal of Quality Technology, Vol. 32, pp. 427-431.
- Leon, R. V., A. C. Shoemaker and R. N. Kackar (1987). “Performance Measures Independent of Adjustment”. Technometrics, Vol. 29, pp. 253-265
- Levey, S., and Jennings, E. R. (1992), “Historical Perspectives: The use of Control Charts in the Clinical Laboratory”, Archives of Pathology and Laboratory Medicine, Vol. 116, pp. 791-798.
- Luko, S. N. (1996), “Concerning the Estimators andin Estimating Variability in a Normal Universe”, Quality Engineering, Vol. 8, No. 3, pp. 481-487.
- Montgomery, D. C., Peck, E. A., and Vining, G. G. (2012), Introduction to Linear Regression Analysis, 5thedition, John Wiley & Sons, new York.
- Montgomery, D.C. and Runger, G.C. (2011), AppliedStatistics and Probability for Engineers, 5th edition, John Wiley & Sons, New York.
- Myers, R. H., and Milton, J. S. (1991), A First Course in the Theory of Linear Statistical Models, PWS-Kent, Boston, MA.
- Nelson, L. S. (1975), “Use of the Range to Estimate Variability”, Journal of Quality Technology, Vol. 7, pp. 46-48.
- Ott, E. R. (1947), “An Indirect Calibration of an Electronic Test Set”, Industrial Quality Control, Vol. 3, No. 4, pp. 11-14.
- Park, C., and Reynolds, M. R., Jr. (1994), “Economic Design of a Variable Sample Size Chart” Communications in Statistics: Simulation and Computation, Vol. 23, pp. 467-483.
- Patnaik, P. R. (1950), “The Use of the MeanRange as an Estimator of Variance in Statistical Tests”, Biometrika, Vol. 37, pp. 78-87.
- Prabhu, S. S., Montgomery, D. C., and Runger, G. C. (1997), “Economic-Statistical Design of an Adaptive Chart”, International Journal of Production Economics, Vol. 49, pp. 1-15.
- Quinlan, J. (1985). “Product Improvement by Application of Taguchi Methods”. Third Supplier Symposium on Taguchi Methods, American Supplier Institute, Inc., Dearborn, MI.
- Reynolds, J. H. (1971), “The Run Sum Control Chart Procedure”, Journal of Quality Technology, Vol. 3, pp. 23-27.
- Roberts, S. W. (1966), “A Comparison of Some Control Chart Procedures”, Technometrics, Vol. 8, pp. 411-430.
- Rodriguez, R. N. (1996), “Health Care Applications of Statistical Process Control: Examples using the SAS System”, pp. 1381-1396, in Proceedings of the 21st SAS Users Group Conference, SAS Users Group International, Cary, NC.
- Roes, K.C.B., and Roes, R. J. M. M. (1995), “Shewhart-Type Charts in Nonstandard Situations (with discussion).” Technometrics, Vol. 37, pp. 15-40
- Runger, G. C., and Fowler, J. W. (1998). “Run-to-Run Control Charts with Contrasts.” Quality and Reliability Engineering International, Vol. 14, pp. 262-272.
- Runger, G. C., and Montgomery, D. C. (1993), “Adaptive Sampling Enhancements for Shewhart Control Charts”, IIE Transactions, Vol. 25, pp. 41-51.
- Ryan, T. P, and Schwertman, N. C. (1997), “Optimal Limits for Attributes Control Charts”, Journal of Quality Technology, Vol. 29, pp. 86-98.
- Samuel, T. R., Pignatiello, J. J., Jr., and Calvin, J. A. (1998), “Identifying the Time of a Step Change with Control Charts”, Quality Engineering, Vol. 10, pp. 521-527.
- Schilling, E. G. (1978), “A Lot Sensitive Sampling Plan for Compliance Testing and Acceptance Inspection”, Journal of Quality Technology, Vol. 10, pp. 47-51.
- Schwertman, N. C., and Ryan, T. P (1997), “Implementing Optimal Attributes Control Charts”, Journal of Quality Technology, Vol. 29, pp. 99-104.
- Shore, H. (2000), “General Control Charts for Attributes”, IIE Transactions, Vol. 32, pp. 1149-1160.
- Sullivan, J. H., and Woodall, W. H. (1996), “A Comparison of Control Charts for Individual Observations”, Journal of Quality Technology, Vol. 28, pp. 398-408.
- Tagaras, G. (1998), “A Survey of Recent Developments in the Design of Adaptive Control Charts”, Journal of Quality Technology, Vol. 30, pp. 212-231.
- Tippett, L. H. C. (1925), “On the Extreme Individuals and the Range in Samples Taken from a Normal Population”, Biometrika, Vol. 17, pp. 364-387.
- Wheeler, D. J. (1995), Advanced Topics in Statistical Process Control, SPC Press, Knoxville, TN.
- Woodall, W. H., and Montgomery, D. C. (2000-01), “Using Ranges to Estimate Variability”, Quality Engineering, Vol. 13, pp. 211-217.
- Yashchin, E. (1994), “Monitoring Variance Components” Technometrics, Vol. 36, pp. 379-393.
- Zimmer, L. S., Montgomery, D. C., and Runger, G. C. (1998), “A Three-State Adaptive Sample Size Control Chart”, International Journal of Production Research, Vol. 36, pp. 733-743.
- Zimmer, L. S., Montgomery, D. C., and Runger, G. C. (2000), “Guidelines for the Application of Adaptive Control Charting Schemes”, International Journal of Production Research, Vol. 38, pp. 1977-1992.
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