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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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