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Progressively Type-II censored competing risks data from Lomax distributions

A competing risks model based on Lomax distributions is considered under progressive Type-II censoring. Maximum likelihood estimates for the distribution parameters are established. Moreover, the expected Fisher information matrix is computed and optimal Fisher information based censoring plans are discussed. In particular, it turns out that the optimal censoring scheme depends on the particular parametrization of the Lomax distributions.
Year of publication:
2011
Authors: Cramer, Erhard ; Schmiedt, Anja Bettina
Published in:
Computational Statistics & Data Analysis. - Elsevier, ISSN 0167-9473. - Vol. 55.2011, 3, p. 1285-1303
Publisher: Elsevier
Keywords: Competing risks Progressive censoring Lomax distributions Exponential distribution Optimal progressive censoring plans
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10008864196
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