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Computational Algebra Applications in Reliability Theory

C. Hartless
L. Leemis
Journal / Anthology

IEEE Transactions on Reliability
Year: 1996
Volume: 45
Issue: 3
Page range: 393-399

Reliability analysts are typically forced to choose between using an "algorithmic programming language" or a "reliability package" for analyzing their models and lifetime data. This paper shows that computational languages can be used to bridge the gap to combine the flexibility of a programming language with the ease of use of a package. Computational languages facilitate the development of new statistical techniques and are excellent teaching tools. This paper considers three diverse reliability problems that are handled easily with a computational algebra language: system reliability bounds, lifetime data analysis, and model selection.

*Applied Mathematics > Optimization

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