Progressively Type-II censored competing risks data from Lomax distributions
AbstractA 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.
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Bibliographic InfoArticle provided by Elsevier in its journal Computational Statistics & Data Analysis.
Volume (Year): 55 (2011)
Issue (Month): 3 (March)
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Web page: http://www.elsevier.com/locate/csda
Competing risks Progressive censoring Lomax distributions Exponential distribution Optimal progressive censoring plans;
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