Masters Theses

Abstract

"A computer program which computes fiducial confidence intervals for reliability by Monte Carlo simulation has been written. The program has the capability of computing these intervals for general systems of series, parallel, and mixed series and parallel subsystems which have failure time distributions which are either exponential, Weibull, gamma, normal, or lognormal.

Comparison of the simulation technique with a Bayesian technique for computing confidence intervals in the case of a series of exponentially distributed components shows that the two methods agree quite well when a fiducial prior distribution for reliability is used in the Bayesian technique. A uniform prior distribution gives results which are consistently lower than those obtained by simulation"--Abstract, page ii.

Advisor(s)

Byers, J. K.

Committee Member(s)

Rigler, A. K.
Wiebe, Henry Allen

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Publisher

University of Missouri--Rolla

Publication Date

1973

Pagination

vii, 57 pages

Note about bibliography

Includes bibliographical references (pages 47-49).

Rights

© 1973 Kathryn Palisch Berkbigler, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Library of Congress Subject Headings

Distribution (Probability theory) -- Computer programs
Monte Carlo method
Computer science -- Mathematics
Mathematical statistics

Thesis Number

T 2857

Print OCLC #

6028847

Electronic OCLC #

911399866

Link to Catalog Record

Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b1066717~S5

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