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1. Bothe, D. R., “A Capability Study for an Entire Product”, ASQC Quality Congress Transactions, pp. 72-178 (1992). 2. Boyles, R. A., “The Taguchi Capability Index”, Journal of Quality Technology, 23(1), pp. 17-26 (1991). 3. Boyles, R. A., “Process Capability with Asymmetric Tolerance”, Communications in Statistics: Computation & Simulation, 23(3), pp. 615-643 (1994). 4. Chan , L. K.; Cheng, S. W.; & Spiring, F. A., “A New Measure of Process Capability: Cpm”, Journal of Quality Technology, 20(3), pp. 162-175 (1988). 5. Chan, L. K.; Cheng, S. W.; & Spiring, F. A., “A Multivariate Measure of Process Capability ”, International Journal of Modeling and Simulation 11, pp. 1-6(1991). 6. Chang, P. L. & Lu, K. H., “PCI Calculations for Any Shape of Distribution with Percentile”, Quality World, Technical Section (September), pp. 110-114 (1994). 7. Charbonneau, H. C. & Webster, G. L., “Industrial Quality Control”, Prentice Hall, Englewood Cliffs, New Jersey (1978). 8. Chen, K. S. & Wang, M. H., “A Fuzzy Evaluation Method for a Product with Bigger-the-best Type Quality Characteristics”, Journal of Quality, (Accepted) (2001). 9. Chen, K. S., & Pearn, W. L., “Capability Indices for Processes with Asymmetric Tolerances”, Journal of The Chinese Institute of Engineers, 24(5), pp. 559-568 (2001). 10. Chen, K. S.; Huang M. L.; & Li, R. K., “Process Capability Analysis for an Entire Production”, International Journal of Production Research, 39(17), pp. 4077-4087 (2001). 11. Chen, K. S., “A Incapability Index with Asymmetric Tolerance”, Communication Statistics Sinica, 8(1), pp. 253-262 (1997). 12. Chen, K. S. & Pearn, W. L., “An Application of Non-normal Process Capability Indices”, Quality and Reliability Engineering International, 13, pp. 355-360 (1997). 13. Chen, K. S., “Estimatiom of the Process Incapability Index”, Communications in Statistics-Theory and methods, 27(5), pp. 1263-1274 (1998). 14. Chen, K. S., Pearn, W. L., & Lin. P. C., “Capability Measures for Processes with Multiple Characteristics”, Quality & Reliability Engineering International, (Accepted) (2002). 15. Chen, K. S., “Process Capability Indices for Skew Populations,” Journal of Management and Systems, 3(2), pp. 207-216 (1996). 16. Chen, K. S., Pearn, W. L., & Lin. P. C., “A Generalization of Cpm for Processes with Asymmetric Tolerances”, International Journal of Quality & Safety Engineering, 6(4), pp. 383-398 (1999). 17. Chen, K. S., Li, R. K., & Liao, S. J., “Capability Evaluation of a Product Family for Processes of The Larger-the-better Type”, International Journal of Advance Manufacturing Technology , (Accepted) (2002). 18. Cheng, S. W., “Practical Implementation of the Process Capability Indices”, Quality Engineering, 7(2), pp. 239-259 (1994). 19. Choi, B. C. & Owen, D. B., “A Study of a New Capability Index”, Communications in Statistics-Theory and methods, 19, pp. 1231-1245 (1990). 20. Chou, Y. M.; Polansky, A. M.; & Mason, R. L., “Transforming Non-normal Data to Normality in Statistical Process Control.” Journal of Quality Technology, 30(2), pp. 133-141 (1998). 21. Clements, J.A., “Process Capability Calculations for Non-normal Distributions”, Quality Progress, September, pp. 95-100 (1989). 22. Davis, R.; Kaminsky, F. C.; & Saboo, S., “Process Capability Analysis for Process with Either a Circular or a Spherical Tolerance”, Quality Engineering, 5, pp. 41-54 (1992). 23. English, J. R. & Taylor, G. D., “Process Capability Analysis --- a Robustness Study”, International Journal of Production Research, 31(9), pp. 1621-1635 (1993). 24. Franklin, L. A. & Wasserman, G. S., “Bootstrap Lower Confidence Limits for Capability Indices”, Journal of Quality Technology, 24(4), pp. 158-172 (1992). 25. Gruner, G., “Calculation of Cpk under Conditions of Variable Tolerances”, Quality Engineering, 3(3), pp. 281-291 (1991). 26. Gruska, G. F.; Mirkhani, K.; & Lamberson, L. R., “Non-normal Data Analysis”, St. Clair Shores, MI: Applied Computer Solutions, Inc., (1989). 27. Hellmich, M. & Wolff, H., “A New Approach for Describing and Controlling Process Capability for a Multivariate Process”, Proceedings of the SAS Section Quality and Productivity, pp. 44-48(1996).
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