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Comparison of Pearson distribution system and response modeling methodology (RMM) as models for process capability analysis of skewed data

  • Published:2011-07 Issue:5 Volume:27 Page:681-687
  • ISSN:0748-8017
  • Container-title:Quality and Reliability Engineering International
  • language:en
  • Short-container-title:Qual. Reliab. Engng. Int.

Author:

Shauly Michal,Parmet Yisrael

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference27 articles.

1. Process capability indices and non-normal distributions;Somerville;Quality Engineering,1996

2. An analysis of transformation;Box;Journal of the Royal Statistical Society, Series B,1964

3. Cpk index estimation using data transformation;Rivera;Computers and Industrial Engineering,1995

4. Skewness reduction approach in multi-attribute process monitoring;Niaki;Communications in Statistics-Theory and Methods,2007

5. Process capability indices for skewed populations;Chang;Quality and Reliability Engineering International,2002

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1. Comparison of the alternative parameter estimators of Pearson distributions by robustness criteria;Hacettepe Journal of Mathematics and Statistics;2022-12-31

2. Dual response surface optimization using a process “capability” index;Communications in Statistics - Theory and Methods;2021-01-11

3. Unbiased Weibull capabilities indices using multiple linear regression;Quality and Reliability Engineering International;2017-04-17

4. Two Inverse Normalizing Transformation methods for the process capability analysis of non-normal process data;Computers & Industrial Engineering;2016-12

5. Non-normal Capability Indices for the Weibull and Lognormal Distributions;Quality and Reliability Engineering International;2015-07-03
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