DocumentCode
2550270
Title
Reliability Models
Author
Leemis, Larry
Author_Institution
Dept. of Math., Coll. of William & Mary, Williamsburg, VA, USA
fYear
2010
fDate
15-18 Sept. 2010
Firstpage
308
Lastpage
308
Abstract
Performance modelers typically use Markov models associated with their analysis of computer systems. This tutorial introduces additional probabilistic models (e.g., competing risks, proportional hazards) and the associated statistical methods that are commonly used in reliability engineering and biostatistics to complement the Markov models.
Keywords
Markov processes; data analysis; reliability theory; Markov models; biostatistics; probabilistic models; reliability engineering; reliability models; statistical methods; Acceleration; Biological system modeling; Computational modeling; Data models; Hazards; Markov processes; Reliability; lifetime data analysis; survival analysis; systems design;
fLanguage
English
Publisher
ieee
Conference_Titel
Quantitative Evaluation of Systems (QEST), 2010 Seventh International Conference on the
Conference_Location
Williamsburg, VA
Print_ISBN
978-1-4244-8082-1
Type
conf
DOI
10.1109/QEST.2010.46
Filename
5600374
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