Attribute Reliability and the Success Run: A Review

Format:

Book

Conference/Event

Author/Creator:

Luko, Stephen N., author.

Conference Name:

1997 SAE International Off-Highway and Powerplant Congress and Exposition (1997-09-08 : Milwaukee, Wisconsin, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 1997

Summary:

This paper reviews the theory and application of the "success run" test, found in reliability assessment applications, among others. A "success run" is a series of n independent tests without failure. The mathematical basis of the classical, non parametric success run test is reviewed, and it is shown with examples what can be said about the relation among reliability, confidence and sample size. The Bayesian success run is developed using the uniform distribution as prior distribution of reliability. This is further extended to include cases of uniform priors where 0< A < R < 1. The classical non-parametric case is reexamined and a natural prior distribution is revealed for the special case when one's only prior assumption is: 0 < A R 1. Finally, some comparisons are made among these models and it is shown that the lower confidence bounds on reliability, using these conservative priors, converge rather rapidly to results obtained using the classical non-parametric model

Notes:

Vendor supplied data

Publisher Number:

972753

Access Restriction:

Restricted for use by site license