A Review Of Model Selection Procedures Relevant To The Weibull Distribution
Abstract
A number of goodness-of-fit and model selection procedures related to the Weibull distribution are reviewed. These procedures include probability plottin correlation type goodness-of-fit tests, and chi-square goodness-of-fit tests. Also the Kolmogorov-Smirniv, Kuiper, and Cramer-Von Mises test statistics for completely specified hypothesis based on censored data are reviewed, and these test statistics based on complete samples for the unspecified parameters case are considered. Goodness-of-fit tests based on sample spacings, and a qoodness-of-fit test for the Weibull process, is also discussed. Model selection procedures for selecting between a Weibull and gamma model, a Weibull and lognormal model, and for selecting from among all three models are considered. Also tests of exponential versus Weibull and Weibull versus generalized gamma are mentioned. © 1983, Taylor & Francis Group, LLC. All rights reserved.
Recommended Citation
L. J. Bain and M. Engelhardt, "A Review Of Model Selection Procedures Relevant To The Weibull Distribution," Communications in Statistics - Theory and Methods, vol. 12, no. 5, pp. 589 - 609, Taylor and Francis Group; Taylor and Francis, Jan 1983.
The definitive version is available at https://doi.org/10.1080/03610928308828480
Department(s)
Mathematics and Statistics
Second Department
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
Goodness-of-Fit; Weibull Distribution
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 1983
