DocumentCode
127063
Title
Comparison of classical and Bayesian models using BLR
Author
Mense, A.T. ; Olsen, Grant
Author_Institution
Raytheon Co., Tucson, AZ, USA
fYear
2014
fDate
27-30 Jan. 2014
Firstpage
1
Lastpage
4
Abstract
The modeling of storage reliability using binary logistic regression allows for one to explore the causal or correlative variable relationships that affect the outcome of binary (pass/fail) tests. Both classical and Bayesian models show good agreement when the amount of data available is large as it should. Bayesian models should add some value for situations in which there are only small amounts of testing information.
Keywords
Bayes methods; regression analysis; reliability; storage management; BLR; Bayesian models; binary logistic regression; binary test; causal variable relationships; classical models; correlative variable relationships; pass/fail tests; storage reliability modeling; Bayes methods; Data models; Equations; Logistics; Mathematical model; Missiles; Reliability; Bayesian; logistic regression; storage reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium (RAMS), 2014 Annual
Conference_Location
Colorado Springs, CO
Print_ISBN
978-1-4799-2847-7
Type
conf
DOI
10.1109/RAMS.2014.6798479
Filename
6798479
Link To Document