Computational algebra applications in reliability theory

Author

Hartless, Glen ; Leemis, Lawrence

Author_Institution

Florida Univ., Gainesville, FL, USA

Volume

45

Issue

3

fYear

1996

fDate

9/1/1996 12:00:00 AM

Firstpage

393

Lastpage

399

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

Keywords

Weibull distribution; algebra; failure analysis; mathematics computing; reliability theory; symbol manipulation; algorithmic programming language; computational algebra; computational languages; computer simulation; lifetime data analysis; model selection; models; reliability package; reliability problems; reliability theory; statistical techniques; system reliability bounds; Algebra; Application software; Computer applications; Data analysis; Distributed computing; Educational institutions; Hazards; Maximum likelihood estimation; Packaging; Reliability theory;

fLanguage

English

Journal_Title

Reliability, IEEE Transactions on

Publisher

ieee

ISSN

0018-9529

Type

jour

DOI

10.1109/24.536991

Filename

536991