Thumbnail Image
Publication

Computational Algebra Applications in Reliability

Hartless, G
; 
Leemis, Lawrence
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.
Description
Date
1996-09-01
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Collections
Computational & Applied Mathematics & Statistics
Show all metadata
Download Dataset
Files
Thumbnail Image
computational_algebra_applications_in_reliability_theory.pdf
Adobe PDF, 194.72 KB
Rights Holder
Usage License
Embargo
Research Projects
Organizational Units
Journal Issue
Keywords
Citation
Advisor
Department
Computational & Applied Mathematics & Statistics
DOI
https://doi.org/10.1109/24.536991
URI
https://scholarworks.wm.edu/handle/internal/1048
Embedded videos