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Progressive censoring methodology: an appraisal

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Abstract

Properties of progressively censored order statistics and inferential procedures based on progressively censored samples have recently attracted considerable attention in the literature. In this paper, I provide an overview of various developments that have taken place in this direction and also suggest some potential problems of interest for further research.

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  1. Department of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada, L8S 4K1

    N. Balakrishnan

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  1. N. Balakrishnan
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Correspondence to N. Balakrishnan.

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This invited paper is discussed in the comments available at: http://dx.doi.org/10.1007/s11749-007-0062-x, http://dx.doi.org/10.1007/s11749-007-0063-9, http://dx.doi.org/10.1007/s11749-007-0064-8, http://dx.doi.org/10.1007/s11749-007-0065-7, http://dx.doi.org/10.1007/s11749-007-0066-6, http://dx.doi.org/10.1007/s11749-007-0067-5, http://dx.doi.org/10.1007/s11749-007-0068-4, http://dx.doi.org/10.1007/s11749-007-0069-3, http://dx.doi.org/10.1007/s11749-007-0070-x, http://dx.doi.org/10.1007/s11749-007-0071-9.

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Balakrishnan, N. Progressive censoring methodology: an appraisal. TEST 16, 211–259 (2007). https://doi.org/10.1007/s11749-007-0061-y

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