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|Authors:||Pasquale Erto: University of Naples “Federico II” Naples, Italy|
|Guiliana Pallotta: University of Naples “Federico II” Naples, Italy|
|Publication title:||A Control Chart of the Weibull Percentiles Via Bayesian: Bootstrap Approach|
|Conference:||11th QMOD Conference. Quality Management and Organizational Development Attaining Sustainability From Organizational Excellence to SustainAble Excellence, 20–22 August, 2008 in Helsingborg, Sweden|
|Publication type:||Abstract and Fulltext|
|Abstract:||Purpose: This work proposes an innovative control chart of the Weibull percentiles using Bayesian estimators supported by bootstrap methods.|
Approach: The chart offers two main advantages.
On one side, the estimation procedure is able to effectively integrate both the experimental and the technological information exploiting some specific Bayesian estimators.
On the other side, the bootstrap techniques allow to capitalize the experimental information provided by few samples.
Findings: The performance of the control chart has been investigated by means of a large Monte Carlo study.
Value of the paper: The paper presents a control chart for Weibull percentiles, where few alternative charts can be found.
|Keywords:||Statistical Process Control, non-Normal control charts, Bayesian inference, Weibull distribution, Bootstrap methods|
|No. of pages:||9|
|Series:||Linköping Electronic Conference Proceedings|
|Publisher:||Linköping University Electronic Press, Linköpings universitet|
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