A note on bayesian estimation of process capability indices

Jyh Jen Horng Shiau; Hui-Nien Hung; Chun Ta Chiang

doi:10.1016/S0167-7152(99)00061-9

A note on bayesian estimation of process capability indices

Jyh Jen Horng Shiau^*, Hui-Nien Hung, Chun Ta Chiang

^*Corresponding author for this work

Institute of Statistics

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Process capability indices are useful for assessing the capability of manufacturing processes. Most traditional methods are obtained from the frequentist point of view. We view the problem from the Bayes and empirical Bayes approaches by using non-informative and conjugate priors, respectively.

Original language	English
Pages (from-to)	215-224
Number of pages	10
Journal	Statistics and Probability Letters
Volume	45
Issue number	3
DOIs	https://doi.org/10.1016/S0167-7152(99)00061-9
State	Published - 15 Nov 1999

Keywords

Bayes estimators
Bayesian approach
Conjugate prior
Non-informative prior
Process capability indices

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10.1016/S0167-7152(99)00061-9

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title = "A note on bayesian estimation of process capability indices",

abstract = "Process capability indices are useful for assessing the capability of manufacturing processes. Most traditional methods are obtained from the frequentist point of view. We view the problem from the Bayes and empirical Bayes approaches by using non-informative and conjugate priors, respectively.",

keywords = "Bayes estimators, Bayesian approach, Conjugate prior, Non-informative prior, Process capability indices",

author = "Shiau, {Jyh Jen Horng} and Hui-Nien Hung and Chiang, {Chun Ta}",

year = "1999",

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AU - Shiau, Jyh Jen Horng

AU - Hung, Hui-Nien

AU - Chiang, Chun Ta

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Y1 - 1999/11/15

N2 - Process capability indices are useful for assessing the capability of manufacturing processes. Most traditional methods are obtained from the frequentist point of view. We view the problem from the Bayes and empirical Bayes approaches by using non-informative and conjugate priors, respectively.

AB - Process capability indices are useful for assessing the capability of manufacturing processes. Most traditional methods are obtained from the frequentist point of view. We view the problem from the Bayes and empirical Bayes approaches by using non-informative and conjugate priors, respectively.

KW - Bayes estimators

KW - Bayesian approach

KW - Conjugate prior

KW - Non-informative prior

KW - Process capability indices

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DO - 10.1016/S0167-7152(99)00061-9

M3 - Article

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SN - 0167-7152

VL - 45

SP - 215

EP - 224

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

IS - 3

ER -

A note on bayesian estimation of process capability indices

Abstract

Keywords

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