System availability
Subtitle: time dependence and statistical inference by (semi)non-parametric methods
By: Donald P. Gaver, Patricia A. Jacobs
Contributors: Jacobs, Patricia A.; Naval Postgraduate School (U.S.). Dept. of Operations Research
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1988
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 40
Subjects: NONPARAMETRIC STATISTICS; STATISTICAL INFERENCE; LAPLACE TRANSFORMATION; AVAILABILITY; TIME DEPENDENCE
Other 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)
Notes: Cover title.

"NPS-55-88-008."

"August 1988."

AD A200 579.

Includes bibliographical references (p. 37-39).

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