Inferences On The Difference Of Failure Intensities From Two Exponential Distributions
Abstract
Exact tests and confidence intervals are derived for the difference in failure intensities for two exponential populations, based on the conditional distribution of the total time-to-failure of one of the samples, given the total time-to-failure of the two samples. Moments of the distribution are studied, and approximate methods are discussed based on approximate percentiles and on the asymptotic normal distribution. An extension of the method to Type II censored samples is given, and an extension to the problem of comparing mean costs, when the costs of the products or failures are different, is also discussed. © 1993, Taylor & Francis Group, LLC. All rights reserved.
Recommended Citation
L. J. Bain et al., "Inferences On The Difference Of Failure Intensities From Two Exponential Distributions," Communications in Statistics - Simulation and Computation, vol. 22, no. 1, pp. 175 - 189, Taylor and Francis Group; Taylor and Francis, Jan 1993.
The definitive version is available at https://doi.org/10.1080/03610919308813087
Department(s)
Mathematics and Statistics
Second Department
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
censored; confidence intervals; difference of; exponential distributions; failure rates; sampling; tests
International Standard Serial Number (ISSN)
1532-4141; 0361-0918
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 1993
