Cart (Loading....) | Create Account
Close category search window
 

A Modified Monte Carlo Technique for Confidence Limits of System Reliability Using Pass-Fail Data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Chao, Anne ; Institute of Applied Mathematics; National Tsing Hua University; Hsin-Chu; Taiwan-R.O. CHINA. ; Huwang, L-C

A Monte Carlo technique of Rice & Moore is modified to give a more accurate procedure for approximating confidence limits on system reliability using binomial component data. The modified lower confidence limit not only improves the Rice & Moore results but also compares well with most of the currently available methods for special series systems. Simulation results show that the modified method performs better in maintaining the nominal coverage probabilities than the original Rice & Moore procedure.

Published in:

Reliability, IEEE Transactions on  (Volume:R-36 ,  Issue: 1 )

Date of Publication:

April 1987

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.