Properties of continuous analog estimators for a discrete reliability-growth model

Author

Bhattacharyya, Gouri K. ; Fries, Arthur ; Johnson, Richard A.

Author_Institution

Wisconsin Univ., Madison, WI, USA

Volume

38

Issue

3

fYear

1989

fDate

8/1/1989 12:00:00 AM

Firstpage

373

Lastpage

378

Abstract

A discrete reliability-growth model (appropriate for success-failure data) whose derivation parallels that of a popular nonhomogeneous Poisson process model (appropriate for continuous failure time data) is considered.,Following J. M. Finkelstein (ibid. vol.R-32, p.508-11, Dec. 1983) continuous analog estimators are defined for use with the discrete model when there is a constant prespecified number of test trials between system configuration changes. The large-sample properties of these estimators, including consistency and normality, are established. Large-sample standard-error formulas and confidence interval procedures are developed

Keywords

reliability theory; statistical analysis; confidence interval procedures; consistency; continuous analog estimators; continuous failure time data; discrete reliability-growth model; large-sample properties; normality; popular nonhomogeneous Poisson process model; standard-error formulas; success-failure data; Failure analysis; Power system modeling; Power system planning; Power system reliability; Probability; Process planning; Reliability theory; State estimation; Statistical analysis; System testing;

fLanguage

English

Journal_Title

Reliability, IEEE Transactions on

Publisher

ieee

ISSN

0018-9529

Type

jour

DOI

10.1109/24.44185

Filename

44185