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Parameter estimations for generalized exponential distribution under progressive type-I interval censoring

The estimates, via maximum likelihood, moment method and probability plot, of the parameters in the generalized exponential distribution under progressive type-I interval censoring are studied. A simulation is conducted to compare these estimates in terms of mean squared errors and biases. Finally, these estimate methods are applied to a real data set based on patients with plasma cell myeloma in order to demonstrate the applicabilities.
Year of publication:
2010
Authors: Chen, D.G. ; Lio, Y.L.
Published in:
Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 54.2010, 6, p. 1581-1591
Publisher: Elsevier
Keywords: Maximum likelihood estimate Method of moments EM algorithm Type-I interval censoring
Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10008550821
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