SPC Q Charts for Start-Up Processes and Short or Long Runs

References

• Bothe, D. R. (1989). “A Powerful New Control Chart for Job Shops.” 43rd Annual Quality Congress Transactions, American Society for Quality Control, pp. 265–270.
   Google Scholar
• Box, G. E. P. and Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control. Holden Day, San Francisco, CA.
   Google Scholar
• Burr, J. T. (1989). “SPC in the Short Run.” 43rd Annual Quality Congress Transactions, American Society for Quality Control, pp. 776–780.
   Google Scholar
• Chan, T. F.; Golub, G. H.; and LeVeque, R. J. (1983). “Algorithms for Computing the Sample Variance: Analysis and Recommendations.” The American Statistician 37, pp. 242–247.
   Web of Science ®Google Scholar
• Coleman, D. E. (1989). “Generalized Control Charting.” Statistical Process Control in Automated Manufacturing, (J. B. Keats and N. F. Hubele, Eds.) Marcel Dekker, New York, NY, pp. 155–191.
   Google Scholar
• Cook, H. M., Jr. (1989). “Some Statistical Control Techniques for Job Shops.” 43rd Annual Quality Congress Transactions, American Society for Quality Control, pp. 638–642.
   Google Scholar
• Craig, R. J. (1984). “Normal Family Distribution Functions: FORTRAN and BASIC Programs.” Journal of Quality Technology 16, pp. 232–236.
   Web of Science ®Google Scholar
• Deming, W. E. (1986). Out of the Crisis. Center for Advanced Engineering Study, M.I.T., Cambridge, MA.
   Google Scholar
• Durbin, J. and Watson, G. S. (1950). “Testing for Serial Correlation in Least Squares Regression. I.” Biometrika 37, pp. 409–428.
   PubMed Web of Science ®Google Scholar
• Durbin, J. and Watson, G. S. (1951). “Testing for Serial Correlation in Least Squares Regression. II.” Biometrika 38, pp. 159–178.
   PubMed Web of Science ®Google Scholar
• Durbin, J. and Watson, G. S. (1971). “Testing for Serial Correlation in Least Squares Regression. III.” Biometrika 58, pp. 1–19.
   Web of Science ®Google Scholar
• Fisher, R. A. (1930). “Inverse Probability.” Proceedings of the Cambridge Philosophical Society 26, pp. 528–535.
   Google Scholar
• Fuller, W. A. (1976). Introduction to Statistical Time Series. John Wiley & Sons, New York, NY.
   Google Scholar
• Hillier, F. S. (1969). “X̄- and R-Chart Control Limits Based on A Small Number of Subgroups.” Journal of Quality Technology 1, pp. 17–26.
   Google Scholar
• Marr, R. L. and Quesenberry, C. P. (1989). “A NU Test for Serial Correlation of Regression Model Residuals.” Institute of Statistics Mimeograph Series, No. 1939. North Carolina State University, Raleigh, NC.
   Google Scholar
• Montgomery, D. C. and Mastrangelo, C. M. (1991). “Some Statistical Process Control Methods for Autocorrelated Data (with discussion).” Journal of Quality Technology 23, pp. 179–193.
   Web of Science ®Google Scholar
• Nelson, L. S. (1984). “The Shewhart Control Chart—Tests for Special Causes.” Journal of Quality Technology 16, pp. 237–239.
   Web of Science ®Google Scholar
• O'Reilly, F. J. and Quesenberry, C. P. (1973). “The Conditional Probability Integral Transformation and Applications to Composite Chi-Square Goodness-of-Fit Tests.” Annals of Statistics 1, pp. 74–83.
   Web of Science ®Google Scholar
• Pugh, G. A. (1989). “Computing with the Gaussian Distribution: A Survey of Algorithms.” 43rd Annual Quality Congress Transactions, American Society for Quality Control, pp. 496–501.
   Google Scholar
• Quesenberry, C. P. (1986a). “Probability Integral Transformations.” Encyclopedia of Statistical Sciences, (S. Kotz and N. L. Johnson, Eds.) John Wiley & Sons, New York, NY, pp. 225–232.
   Google Scholar
• Quesenberry, C. P. (1986b). “Screening Outliers in Normal Process Control Data with Uniform Residuals.” Journal of Quality Technology 18, pp. 226–233.
   Web of Science ®Google Scholar
• Quesenberry, C. P. (1986c). “Some Transformation Methods in Goodness-of-Fit.” Goodness-of-Fit Techniques. (R. B. D'Agostino and M. A. Stephens, Eds.) Marcel Dekker, New York, NY.
   Google Scholar
• Thompson, L. A., Jr. (1989). “SPC & the Jop Shop—Strange Bedfellows?” 43rd Annual Quality Congress Transactions, American Society for Quality Control, pp. 896–901.
   Google Scholar
• Youngs, E. A. and Cramer, E. M. (1971). “Some Results Relevant to Choice of Sum and Sum-of-Product Algorithms.” Technometrics 13, pp. 657–665.
   Web of Science ®Google Scholar