Interval Estimation Of The Largest Reliability Of K Weibull Populations
Abstract
A procedure is given for obtaining a random width confidence interval for the largest reliability of k Weibull populations. The procedure does not identify the populations for which the reliability would be a maximum. The maximum likelihood estimators or the simplified linear estimators of the reliability based on type II censored data are used. The cases considered include unknown shape parameters being equal or unequal. Simultaneous confidence intervals for the k reliabilities are also obtained. Tables for the lower and upper limits in selected cases are constructed using Monte Carlo methods. © 1981, Taylor & Francis Group, LLC. All rights reserved.
Recommended Citation
J. V. Kingston and J. K. Patel, "Interval Estimation Of The Largest Reliability Of K Weibull Populations," Communications in Statistics - Theory and Methods, vol. 10, no. 22, pp. 2279 - 2298, Taylor and Francis Group; Taylor and Francis, Jan 1981.
The definitive version is available at https://doi.org/10.1080/03610928108828188
Department(s)
Mathematics and Statistics
Keywords and Phrases
interval estimation; reliability; Weibull
International Standard Serial Number (ISSN)
1532-415X; 0361-0926
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Taylor and Francis Group; Taylor and Francis, All rights reserved.
Publication Date
01 Jan 1981
