An algorithm to estimate the fraction defective and the exponential mean life using unlabeled samples

DOI10.1016/0020-0190(94)90089-2zbMath0787.62110OpenAlexW2059921073WikidataQ127983474 ScholiaQ127983474MaRDI QIDQ1318760

Tze Fen Li, Sung Wu Chang

Publication date: 5 April 1994

Published in: Information Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0190(94)90089-2

zbMATH Keywords

classificationalgorithmspattern recognitionMonte Carlo studyunsupervised learningmixture distributionmanufacturing processesexponential mean lifetimesmixture of unlabeled samplespercentages

Mathematics Subject Classification ID

Point estimation (62F10) Applications of statistics in engineering and industry; control charts (62P30)

Cites Work

• An Approach to Unsupervised Learning Classification
• Recursive estimation of prior probabilities using a mixture
• A quasi-Bayes unsupervised learning procedure for priors (Corresp.)
• Randomly Generated Nonlinear Transformations for Pattern Recognition
• Unsupervised learning and the identification of finite mixtures
• Stochastic estimation of a mixture of normal density functions using an information criterion
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