Introduction
Introduction Statistics Contact Development Disclaimer Help
DTIC ADA201261: Sensitivity Analysis Using the Monte Carlo Acceptan...
by Defense Technical Information Center
Thumbnail
Download
Web page
This paper describes a Monte Carlo sampling plan for
estimating how a function varies in response to changes
in its arguments. Most notably, the plan effects this
sensitivity analysis by applying the acceptance-rejection
technique to data sampled at only one specified setting
for the arguments, thus saving considerable computing
time when compared to alternative methods. The plan which
applies for a 0-1 response on each replication has
immediate application when estimating variation in system
performance measures in reliability analysis. The paper
derives the variances of the proposed estimators and
shows how to use worst case bounds on these or on
corresponding coefficients of variation to choose the
arguments, at which to sample, that minimize the worst
case bounds. Individual and simultaneous confidence
intervals are derived and an example based on s-t
reliability illustrates the method. The paper also
compares the proposed method and an alternative Monte
Carlo approach that uses an importance function.
Date Published: 2018-02-21 04:38:17
Identifier: DTIC_ADA201261
Item Size: 18423243
Language: english
Media Type: texts
# Topics
DTIC Archive; Fishman, George S ; NOR...
# Collections
dticarchive
additional_collections
# Uploaded by
@chris85
# Similar Items
View similar items
PHAROS
You are viewing proxied material from tilde.pink. The copyright of proxied material belongs to its original authors. Any comments or complaints in relation to proxied material should be directed to the original authors of the content concerned. Please see the disclaimer for more details.