"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.
Byers, J. K.
Rigler, A. K.
Wiebe, Henry Allen
M.S. in Computer Science
University of Missouri--Rolla
vii, 57 pages
© 1973 Kathryn Palisch Berkbigler, All rights reserved.
Thesis - Restricted Access
Library of Congress Subject Headings
Distribution (Probability theory) -- Computer programs
Monte Carlo method
Computer science -- Mathematics
Print OCLC #
Electronic OCLC #
Link to Catalog RecordElectronic 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
Berkbigler, Kathryn Palisch, "Monte Carlo simulation of confidence intervals for reliability" (1973). Masters Theses. 3511.