A semiparametric Bayesian generalized linear mixed model for the reliability of Kevlar fibers
Author:
Affiliation:
1. IMATI-CNR; Milan; Italy
2. Politecnico di Milano; Milan; Italy
3. Department of Statistical Science; Duke University; Durham; NC; USA
Publisher
Wiley
Subject
Management Science and Operations Research,General Business, Management and Accounting,Modelling and Simulation
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/asmb.1936/fullpdf
Reference25 articles.
1. Controlling the reinforcement in Bayesian nonparametric mixture models;Lijoi;Journal of the Royal Statistical Society B,2007
2. Prediction of Long-Term Failure in Kevlar 49 Composites
3. Glaser RE Statistical Analysis of Kevlar 49 Epoxy Composite Stress-Rupture Data Report UCID-19849 1983
4. Statistical Analysis of Reliability Data
5. Reliability of space-shuttle pressure vessels with random batch effects;Feiveson;Technometrics,2000
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1. The logistic Nadarajah–Haghighi distribution and its associated regression model for reliability applications;Reliability Engineering & System Safety;2020-12
2. A “Density-Based” Algorithm for Cluster Analysis Using Species Sampling Gaussian Mixture Models;Journal of Computational and Graphical Statistics;2014-10-02
3. Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times;Statistical Papers;2013-05-21
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