Comparisons of frequentist and Bayesian inferences for interval estimation on process yield
Year of publication: |
2022
|
---|---|
Authors: | Wu, Chien-wei ; Shu, Ming-Hung ; Huang, Ting-Ying ; Hsu, Bi-Min |
Published in: |
Journal of the Operational Research Society. - London : Taylor and Francis, ISSN 1476-9360, ZDB-ID 2007775-0. - Vol. 73.2022, 12, p. 2694-2705
|
Subject: | coverage rate | generalised confidence intervals | Markov chain Monte Carlo | Process performance evaluation | quality assurance | statistical inference criteria | Qualitätsmanagement | Quality management | Markov-Kette | Markov chain | Induktive Statistik | Statistical inference | Monte-Carlo-Simulation | Monte Carlo simulation | Bayes-Statistik | Bayesian inference | Schätztheorie | Estimation theory |
-
Locally- but not Globally-identified SVARs
Bacchiocchi, Emanuele, (2022)
-
Locally- but not globally-identified SVAR
Bacchiocchi, Emanuele, (2020)
-
Markov chain Monte Carlo in Bayesian models for testing gamma and lognormal S-type process qualities
Liao, Mou-Yuan, (2016)
- More ...
-
Generalized confidence intervals for the process capability index C <Subscript>pm</Subscript>
Hsu, Bi-Min, (2008)
-
A two-stage controlling procedure for the exponential failure process with high reliability
Hsu, Bi-min, (2009)
-
Shu, Ming-hung, (2010)
- More ...