Bayesian Process Capability Analysis
Bayesian Process Capability Analysis is a statistical methodology within process capability analysis that incorporates prior knowledge and observed data through Bayesian inference to estimate and assess the capability of a process, distinguishing itself from classical frequentist approaches by providing probabilistic interpretations of capability indices under uncertainty.
11
Publications
330
Citations
18
Authors
8
Institutions
Publications per year
2017–2026
0
Parents
11
1–5 of 11
18
4
h-index
3
h-index
1
h-index
1 publications · 18 citations
1
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1
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1–5 of 18
8

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
4 h-index
7 publications
208 citations
Feng Chia University
Taichung, Taiwan
3 h-index
4 publications
74 citations

Yazd University
Yazd, Iran
1 h-index
2 publications
62 citations
Industrial Technology Research Institute
Hsinchu, Taiwan
1 h-index
1 publications
28 citations
Universitat de València
Valencia, Spain
1 h-index
1 publications
37 citations
Visva-Bharati University
Shānti Niketan, India
1 h-index
2 publications
44 citations
George Washington University
Washington, United States
1 h-index
1 publications
37 citations

University of Manitoba
Winnipeg, Canada
1 h-index
2 publications
120 citations
1–8 of 8
2 publications · 41 citations
2
h-index
IMS · 1 publications · 18 citations
1
h-index
1 publications · 60 citations
1
h-index
1 publications · 42 citations
1
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JPS · 1 publications · 22 citations
1
h-index
1–5