International Journal of Management and Applied Science (IJMAS)
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current issues
Volume-6,Issue-4  ( Apr, 2020 )
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  1. Volume-6,Issue-4  ( Apr, 2020 )
  2. Volume-6,Issue-3  ( Mar, 2020 )
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Statistics report
Jun. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 74
Paper Published : 4383
No. of Authors : 9020
  Journal Paper




Paper Title :
Testing Weibull Process Yield using The Markov Chain Monte Carlo Method

Author :Mou-Yuan Liao

Article Citation :Mou-Yuan Liao , (2018 ) " Testing Weibull Process Yield using The Markov Chain Monte Carlo Method " , International Journal of Management and Applied Science (IJMAS) , pp. 13-15, Volume-4,Issue-10

Abstract : Process capability index pk C is a popular index used to make managerial decisions on quality assurance because it provides bounds on the process yield of a normally distributed process. However, the normality assumption is often invalid, so it has become challenging for quality managers to accurately assess pk C values. In this study, we provide an alternative method for assessing the pk C value of a non-normal process. The Markov chain Monte Carlo method was integrated into a Bayesian model and adapted to determine the empirical posterior distributions of pk C and thereby obtain the credible intervals for testing pk C . Keywords - Bayesian; Markov chain Monte Carlo; Process capability.

Type : Research paper


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