Document Type

Article

Department/Program

Computational & Applied Mathematics & Statistics

Journal Title

IEEE Transactions on Reliability

Pub Date

9-1996

Publisher

IEEE

Volume

45

Issue

3

First Page

393

Abstract

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.

DOI

https://doi.org/10.1109/24.536991

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