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AuthorPakyari, Reza
AuthorAl-Hamed, Omama
Available date2024-12-02T09:25:24Z
Publication Date2023-02-14
Publication NameFrontiers in Applied Mathematics and Statistics
Identifierhttp://dx.doi.org/10.3389/fams.2023.1113477
CitationPakyari, R., & Al-Hamed, O. M. (2023). On testing exponentiality under Type-I censoring. Frontiers in Applied Mathematics and Statistics, 9, 1113477.
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85149839000&origin=inward
URIhttp://hdl.handle.net/10576/61607
AbstractTwo new goodness-of-fit testing procedures are introduced to test exponentiality when data are subject to Type-I censoring. We proposed four test statistics for this purpose. Under extensive Monte Carlo simulations, we showed that the proposed tests maintain the nominal significance level and show good power for both monotonic and non-monotonic hazard function alternatives even for small samples as n = 10. A real dataset is studied for illustrative purposes.
Languageen
PublisherFrontiers Media S.A.
Subjectbeta distribution
binomial distribution
exponential distribution
goodness-of-fit testing
maximum likelihood estimator
order statistics
quantiles
Type-I censoring
TitleOn testing exponentiality under Type-I censoring
TypeArticle
Volume Number9
ESSN2297-4687
dc.accessType Open Access


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