Incorporation of Asymptotic Normality Properties of the Binomial Distribution into a Monte Carlo Technique for Estimating Lower Confidence Limits on System Reliability.

Rice, Roy Eugene

Incorporation of Asymptotic Normality Properties of the Binomial Distribution into a Monte Carlo Technique for Estimating Lower Confidence Limits on System Reliability.

Active / Technical Report | Accession Number: ADA113997 |

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Abstract:

Several methods for estimating lower confidence limits were examined. A proposed technique was developed and used to obtain limits for selected systems. These limits were compared to those obtained by other methods. Then the proposed method was tested to verify its accuracy. Results indicate that the proposed method is simple to understand, easy to implement, and accurate. Author

Author(s):

Rice, Roy Eugene

Author Organization(s):

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Descriptive Note:

Master's thesis,

Pagination:

0053

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:

Approved For Public Release

RECORD

Collection: TR

Identifying Numbers

Report Number(s):

AFIT/GOR/MA/79D-8

Subject Terms

Joint Capability Areas:

JCA_3.2_Engagement; JCA_3_Force Application; JCA_3.2.1_Kinetic Means; JCA_1_Force Support; JCA_5_Command and Control; JCA_1.2_Force Preparation; JCA_5.3_Planning; JCA_6_Net Centric

Communities of Interest:

Electronic Warfare

Descriptor(s):

*Confidence limits, *Asymptotic normality, *Binomials, *Monte Carlo method, *Reliability, Distribution, Low level, Comparison, Estimates, Computations, Methodology, Selection, Accuracy, Failure, Systems analysis, Bayes theorem, Parameters, Theses

Field(s)/Group(s):

Statistics and Probability, Manufacturing and Industrial Engineering and Control of Production Systems

Keyword(s):

Binomial distribution, Binomial density functions

Report Date:

1979 Dec 01