Bayesian Estimation of Generalized Process Capability Indices
Joint Authors
Maiti, Sudhansu S.
Saha, Mahendra
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Maiti, Sudhansu S.& Saha, Mahendra. 2012. Bayesian Estimation of Generalized Process Capability Indices. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-500704
Modern Language Association (MLA)
Maiti, Sudhansu S.& Saha, Mahendra. Bayesian Estimation of Generalized Process Capability Indices. Journal of Probability and Statistics No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-500704
American Medical Association (AMA)
Maiti, Sudhansu S.& Saha, Mahendra. Bayesian Estimation of Generalized Process Capability Indices. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-500704
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500704