Improved bootstrap confidence intervals for the process capability index Cpk

2018 ◽  
Vol 49 (10) ◽  
pp. 2583-2603 ◽  
Author(s):  
Chanseok Park ◽  
Sanku Dey ◽  
Linhan Ouyang ◽  
Jai-Hyun Byun ◽  
Mark Leeds
2017 ◽  
Vol 42 (11) ◽  
pp. 4565-4573 ◽  
Author(s):  
Muhammad Kashif ◽  
Muhammad Aslam ◽  
G. Srinivasa Rao ◽  
Ali Hussein AL-Marshadi ◽  
Chi-Hyuck Jun

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 484 ◽  
Author(s):  
Gadde Srinivasa Rao ◽  
Mohammed Albassam ◽  
Muhammad Aslam

This paper assesses the bootstrap confidence intervals of a newly proposed process capability index (PCI) for Weibull distribution, using the logarithm of the analyzed data. These methods can be applied when the quality of interest has non-symmetrical distribution. Bootstrap confidence intervals, which consist of standard bootstrap (SB), percentile bootstrap (PB), and bias-corrected percentile bootstrap (BCPB) confidence interval are constructed for the proposed method. A Monte Carlo simulation study is used to determine the efficiency of newly proposed index Cpkw over the existing method by addressing the coverage probabilities and average widths. The outcome shows that the BCPB confidence interval is recommended. The methodology of the proposed index has been explained by using the real data of breaking stress of carbon fibers.


IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 12135-12142 ◽  
Author(s):  
Muhammad Kashif ◽  
Muhammad Aslam ◽  
Ali Hussein Al-Marshadi ◽  
Chi-Hyuck Jun ◽  
Muhammad Imran Khan

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