Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1850
Title: Independence tests for randomly censored data: novel proposal and the review of recent developments
Authors: Cuparić, Marija 
Milošević, Bojana 
Affiliations: Probability and Mathematical Statistics 
Probability and Mathematical Statistics 
Issue Date: 2022
Rank: M32
Related Publication(s): 5th Workshop on Goodness-of-fit, Change-point and Related Problems GOFCP 2022, book of abstracts
Conference: Workshop Goodness-of-Fit, Change-Point and Related Problems GOFCP(5 ; 2022 ; Rennes)
Abstract: 
Here we consider the problem of testing independence between two random variables in the presence of random censoring. In particular, we consider three different censoring scenarios: one of the targeted variables is censored, both targeted variables are censored with the same censoring variable and both targeted variables are censored with different censoring variables. In all three cases, some well-known, as well as novel adaptations of several famous test statistics for testing independence (designed for complete data) are presented. Their limiting null distributions are shown, accompanied by the proposal of resampling procedures that might be used for their approximation. Finally, the results of wide empirical power are summarized and directions for further research are presented.
URI: https://research.matf.bg.ac.rs/handle/123456789/1850
DOI: https://ensai.fr/wp-content/uploads/2022/08/book.pdf
Appears in Collections:Research outputs

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