Goodness-of-Fit Tests For The Weibull Distribution With Unknown Parameters And Censored Sampling
Abstract
Goodness-of-fit tests are considered for testing the two-parameter Weibull distribution based on type II censored samples with both parameters assumed unknown. Critical values are obtained by Monte Carlo simulation for Kolmogorov-Smirnov, Kuiper and Cramer-von Mises type test statistics. © 1983, Taylor & Francis Group, LLC. All rights reserved.
Recommended Citation
M. Aho et al., "Goodness-of-Fit Tests For The Weibull Distribution With Unknown Parameters And Censored Sampling," Journal of Statistical Computation and Simulation, vol. 18, no. 1, pp. 59 - 69, Taylor and Francis Group; Taylor and Francis, Jan 1983.
The definitive version is available at https://doi.org/10.1080/00949658308810677
Department(s)
Mathematics and Statistics
Second Department
Geosciences and Geological and Petroleum Engineering
International Standard Serial Number (ISSN)
1563-5163; 0094-9655
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
