A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
23/09/2013
23/09/2013
2012
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| Resumo |
A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original single shift setting to the more realistic situation of gradual quality deterioration and allows the incorporation of an expert's opinion on the production process. Based on the number of inspections to be carried out until a defective item is found, the Bayesian operation for the distribution function that represents the increasing sequence of defective fractions during a cycle considering a mixture of Dirichlet processes as prior distribution is performed. Bayes estimates for relevant quantities are also obtained. (C) 2012 Elsevier B.V. All rights reserved. CNPq CNPq [141960/2004-3] |
| Identificador |
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, AMSTERDAM, v. 142, n. 9, pp. 2701-2709, SEP, 2012 0378-3758 http://www.producao.usp.br/handle/BDPI/33607 10.1016/j.jspi.2012.03.021 |
| Idioma(s) |
eng |
| Publicador |
ELSEVIER SCIENCE BV AMSTERDAM |
| Relação |
JOURNAL OF STATISTICAL PLANNING AND INFERENCE |
| Direitos |
restrictedAccess Copyright ELSEVIER SCIENCE BV |
| Palavras-Chave | #TAGUCHI'S PROCEDURE FOR ATTRIBUTES #CONTINUED QUALITY DETERIORATION #BAYESIAN OPERATION #MIXTURE OF DIRICHLET PROCESSES #BAYESIAN ESTIMATION #PROCESS PARAMETERS #STATISTICS & PROBABILITY |
| Tipo |
article original article publishedVersion |
