System availability
time dependence and statistical inference by (semi)non-parametric methods
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Author
Contributions
- Jacobs, Patricia A. - Contributor
- Naval Postgraduate School (U.S.). Dept. of Operations Research - Contributor
Publication
1988 - Available from National Technical Information Service, Monterey, Calif, California
Language
English
Word Count
10,000 words, Guess
Page Count
40 pages
Identifiers
- Open LibraryOL25504599M
- Internet Archivesystemavailabili00gave
Alternate Titles
- NPS-55-88-008.
Description
This paper addresses the assessment of simple system availability when there is concern about (a) time-dependence, so demands for system performance are not necessarily when the system is in steady-state,' as is often assumed, and when (b) information about system failures and repairs is in the form of observed data so questions of statistical influence arise. The methods and models involved lean towards the semi-parametric or non-parametric; in particular we employ the empirical Laplace transform in the time-dependent scenarios of interest. The authors propose analytically simple approximations to time-dependent system behavior, and assess the effects of model specification (up and down time dependence) upon rates of approach to a long-run steady state as the latter are estimated from available data (assumed to be a random sample). (KR)
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