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
Link To Document :
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