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Adaptive progressive censoring. (English) Zbl 1336.62232
Choudhary, Pankaj K. (ed.) et al., Ordered data analysis, modeling and health research methods. In honor of H. N. Nagaraja’s 60th birthday. Selected papers based on the presentations at the international conference, Austin, TX, USA, March 7–9, 2014. Cham: Springer (ISBN 978-3-319-25431-9/hbk; 978-3-319-25433-3/ebook). Springer Proceedings in Mathematics & Statistics 149, 73-86 (2015).
Summary: The notion of adaptive progressive Type-II censoring has been introduced in [the authors, Test 19, No. 2, 342–358 (2010; Zbl 1203.62169)] to analyse data from a progressively Type-II censored life test with observation dependent removals of units. Such a scheme gives more flexibility to the experimenter since it allows him/her to choose the number of units to be removed at each failure time during the life test. In this paper, the idea is generalised to a more general setting of progressive censoring. Our generalised model allows for arbitrary inspection times and possible removals of units during the experiment. The inspection times and removals depend on what has been observed so far. In particular, this approach includes adaptive progressive Type-I and Type-II censoring with random or fixed inspection timepoints.
For the entire collection see [Zbl 1337.92005].
62N01 Censored data models
62G30 Order statistics; empirical distribution functions
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