References
- Burr, I. W.; Cumulative Frequency Functions, Ann. Math. Stat., pp.215-232, 1942
- Clements, J. A.; 'Process Capability Calculations for Non-Normal Distributions', Quality progress, 9(2), pp. 329-336, 1989
- Conover, W. J.; Practical Nonparametic Statistics, John Wiley & Sons, Inc., New York, 1998
- Farnum, N. R.; 'Using Johnson Curves to describeNon-Normal Process Data', Quality Engineering, 9(2), pp. 329-336, 1996. 7 https://doi.org/10.1080/08982119608919049
- Johnson, N.; 'System of Frequency Curves GeneratedbyTranslation',Biometrika,36, pp.149-176, 1949 https://doi.org/10.1093/biomet/36.1-2.149
- Meaker, W. Q. and Escobar, L. A.; Statistical Methods for Reliability Data. John Wiley & Sons , Inc., New York. 1997
- Mukherjee, S. P.; 'Process Capability Indices and Associated InferenceProblems', in the proceedings of International Conference on Statistical Methods and Statistical Conputation for Quality and Reliability Improvement, 1995
- Mukhejee, S. P. and Singh, N. K.; 'Sampling properties of an Estimator of a New Process Capability Index for Weibull Distributed Quality Characteristics', Quality Engineering, 10(2), pp.291-294, 1997-98 https://doi.org/10.1080/08982119708919136
- Owen, D. B. and Li. H.; 'The Starship for Point Estimation and Confidence Intervals on a Mean and for Percentiles', Communication in Statirtical -Simulation and Computation, 17, pp. 325-341, 1988 https://doi.org/10.1080/03610918808812666
- Slifker, J. F. and Shapiro, S. S.; 'The Johnson System : Selection and Parameters Estimation', Technometrics, 22(2), pp. 239-246, 1980 https://doi.org/10.2307/1268463
- ZWick, D.; 'A Hybrid Method for Fitting Distribution to Data and Its use in Computing Process Capability Indices', Quality Engineering, 7(3) , pp. 601-613, 1995 https://doi.org/10.1080/08982119508918806