Bayesian Estimation of Generalized Process Capability Indices

Process capability indices (PCIs) aim to quantify the capability of a process of quality characteristic (X) to meet some specifications that are related to a measurable characteristic of its produced items. One such quality characteristic is life time of items. The specifications are determined thro...

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Main Authors: Sudhansu S. Maiti, Mahendra Saha
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2012/819730
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author Sudhansu S. Maiti
Mahendra Saha
author_facet Sudhansu S. Maiti
Mahendra Saha
author_sort Sudhansu S. Maiti
collection DOAJ
description Process capability indices (PCIs) aim to quantify the capability of a process of quality characteristic (X) to meet some specifications that are related to a measurable characteristic of its produced items. One such quality characteristic is life time of items. The specifications are determined through the lower specification limit (L), the upper specification limit (U), and the target value (T). Maiti et al. (2010) have proposed a generalized process capability index that is the ratio of proportion of specification conformance to proportion of desired conformance. Bayesian estimation of the index has been considered under squared error loss function. Normal, exponential (nonnormal), and Poisson (discrete) processes have been taken into account. Bayes estimates of the index have been compared with the frequentist counterparts. Data sets have been analyzed.
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spelling doaj-art-25bafb392c0b4ea495c5dd6617d8da1b2025-02-03T06:07:29ZengWileyJournal of Probability and Statistics1687-952X1687-95382012-01-01201210.1155/2012/819730819730Bayesian Estimation of Generalized Process Capability IndicesSudhansu S. Maiti0Mahendra Saha1Department of Statistics, Visva-Bharati University, Santiniketan 731 235, IndiaDepartment of Statistics, Visva-Bharati University, Santiniketan 731 235, IndiaProcess capability indices (PCIs) aim to quantify the capability of a process of quality characteristic (X) to meet some specifications that are related to a measurable characteristic of its produced items. One such quality characteristic is life time of items. The specifications are determined through the lower specification limit (L), the upper specification limit (U), and the target value (T). Maiti et al. (2010) have proposed a generalized process capability index that is the ratio of proportion of specification conformance to proportion of desired conformance. Bayesian estimation of the index has been considered under squared error loss function. Normal, exponential (nonnormal), and Poisson (discrete) processes have been taken into account. Bayes estimates of the index have been compared with the frequentist counterparts. Data sets have been analyzed.http://dx.doi.org/10.1155/2012/819730
spellingShingle Sudhansu S. Maiti
Mahendra Saha
Bayesian Estimation of Generalized Process Capability Indices
Journal of Probability and Statistics
title Bayesian Estimation of Generalized Process Capability Indices
title_full Bayesian Estimation of Generalized Process Capability Indices
title_fullStr Bayesian Estimation of Generalized Process Capability Indices
title_full_unstemmed Bayesian Estimation of Generalized Process Capability Indices
title_short Bayesian Estimation of Generalized Process Capability Indices
title_sort bayesian estimation of generalized process capability indices
url http://dx.doi.org/10.1155/2012/819730
work_keys_str_mv AT sudhansusmaiti bayesianestimationofgeneralizedprocesscapabilityindices
AT mahendrasaha bayesianestimationofgeneralizedprocesscapabilityindices