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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 34, 2002 - Issue 1
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Pages 23-27 | Published online: 20 Feb 2018

Additional References

  • Berger, J. O. (1985). Statistical Decision Theory and Bayesian Analysis, 2nd ed. Springer Verlag, New York.
  • Box, G. E. P. and Tiao, G. C. (1992). Bayesian Inference in Statistical Analysis. John Wiley, New York, NY.
  • English, J. R. and Taylor, G. D. (1993). “Process Capability Analysis—A Robustness Study”. International Journal of Production Research 31, pp. 1621–1635.
  • Leung, B. P. K. (1999). “Contributions to Industrial Statistics”, Ph.D. Thesis, University of Manitoba, Canada.
  • Leon, R. V. and Wu, C. F. J. (1992). “A Theory of Performance Measures in Parameter Design”. Statistica Sinica 2, pp. 335–357.
  • McCormark, D. W., Jr.; Harris, I. R.; Hurwitz, A. M.; and Spagon, P. D. (2000). “Capability Indices for Non-Normal Data”. Quality Engineering 12, pp. 489–495.
  • Page, M. (1994). “Analysis of Non-Normal Process Distributions”. Semiconductor International 10, pp. 88–96.
  • Spiring, F. A. (1991). “A New Measure of Process Capability”. Quality Progress Feb., pp. 57–61.
  • Spiring, F. A. (1993). “The Reflected Normal Loss Function”. The Canadian Journal of Statistics 21, pp 321–330.
  • Spiring, F. A. and Yeung, A. (1998). “A General Class of Loss Functions with Industrial Applications”. Journal of Quality Technology 30, pp. 152–162.
  • Spiring F. A. and Leung, B. P. K. (2001). “Some Properties of the Inverted Probability Loss Functions” (to appear).
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Additional Bibliography

  • Boyles, R. A. (1991). “Corrigenda”. Journal of Quality Technology 23, pp. 382–383.
  • Chan, L. K.; Cheng, S. W.; and Spiring, F. A. (1988). “A Graphical Technique for Process Capability”. ASQC Quality Congress Transactions, pp. 268–275.
  • Cheng, S. W. (1992). “Is the Process Capable? Tables and Graphs in Assessing Cpm“. Quality Engineering 4, pp. 563–576.
  • Chou, Y-M. and Owen, D. B. (1989). “On the Distributions of the Estimated Process Capability Indices”. Communications in Statistics-Theory and Methods 18, pp. 4549–4560.
  • Clifford, P. C. (1971). “A Process Capability Study Using Control Charts”. Journal of Quality Technology 3, pp. 107–111.
  • Constable, G. K. and Hobbs, J. R. (1992). “Small Samples and Non-Normal Capability”. American Society for Quality Control, Technical Conference, pp. 37–43.
  • English, J. R. and Taylor, G. D. (1993). “Process Capability Analysis—A Robustness Study”. International Journal of Production Research 31, pp. 1621–1635.
  • Hubele, N. F. (1999). “Using Graphical Hypothesis Testing for Assessing Process Capability With Cpm“. 43rd Annual Fall Technical Conference.
  • Kane, V. E. (1986). “Corrigenda”. Journal of Quality Technology 18, p. 265.
  • Kocherlakota, S.; Kocherlakota, K.; and Kirmani, S. N. U. A. (1992). “Process Capability Indices Under Nonnormality”. International Journal of Mathematical and Statistical Sciences 1, pp. 175–210.
  • Shore, H. (1998). “A New Approach to Analyzing Non-Normal Quality Data With Application to Process Capability Analysis”. International Journal of Production Research 36, pp. 1917–1933.
  • Spiring, F. A. (2000). “Assessing Process Capability with Indices” in Statistical Process Monitoring and Optimization, edited by S. H. Park and G. G. Vining, Marcel Dekker, New York, pp. 269–290.
  • Von Collani, E. (1994). A Note on Process Capability Indices”. Proceedings of the Third Umeå-Würzburg Conference on Statistics.
  • Zabecki, D. T. (1986). “Process Percent Nonconforming Curves for Process Capability Ratio and Targeting Shift”. Quality Progress, July, pp. 35–38.
  • Zhang, N. F.; Stenback, G. A.; and Wardrop, D. M. (1990). “Interval Estimation of Process Capability Index Cpk“. Communications in Statistics-Theory and Methods 19, pp. 4455–4470.

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