Nonparametric predictive inference with right-censored data
By F. Coolen, K. Yan. 2004
91 citations recorded by the source corpus.
We present a new method of statistical inference for data that include right-censored observations. The method is based on Hill's A(n), a generalization of this assumption is introduced explicitly to deal with right-censored observations. We derive bounds for the predictive survival function. We compare this approach with Berliner and Hill's A(n)-based method and with Kaplan and Meier's product-limit estimator. One of the attractive features of our method is detailed graphical presentation of the effects of right-censoring.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/22081a13ea67954c1c79a0cee60aba9738333750
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In Statistics and Probability
Citations in the corpus
- Imprecise probabilities based on generalised intervals for system reliability assessment (2010, methodology): “Nonparametric predictive inference approaches (Coolen (1998); Coolen and Yan (2004); Coolen-Schrijner and Coolen (2007); Coolen and Augustin (2007)) to predict future failures based on past observations were also developed, which can be applied to right-censored data and support preventive…”