Empirical Bayes decision rule for classification on defective items in Weibull distribution

DOI10.1016/j.amc.2006.04.001zbMath1113.62146OpenAlexW2072538689MaRDI QIDQ861123

Tze Fen Li, Shui-Ching Chang

Publication date: 9 January 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.04.001

zbMATH Keywords

classificationstochastic approximationquality controlunsupervised learningBayes decision rule

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics in engineering and industry; control charts (62P30) Monte Carlo methods (65C05) Stochastic approximation (62L20) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (5)

Empirical E-Bayesian estimation for the parameter of Poisson distribution ⋮ The empirical Bayes estimators of the mean and variance parameters of the normal distribution with a conjugate normal-inverse-gamma prior by the moment method and the MLE method ⋮ The empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior under Stein's loss function ⋮ Comparison between method of moments and entropy regularization algorithm applied to parameter estimation for mixed-Weibull distribution ⋮ Explicit quasi-optimal inspection schemes from nonconformity count data with controlled producer and consumer risks

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