Progressively Type-II censored competing risks data from Lomax distributions

Erhard Cramer and Anja Bettina Schmiedt

Computational Statistics & Data Analysis, 2011, vol. 55, issue 3, 1285-1303

Abstract: 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.

Keywords: Competing; risks; Progressive; censoring; Lomax; distributions; Exponential; distribution; Optimal; progressive; censoring; plans (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (14)

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