Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1877
Title: New characterization based goodness-of-fit tests for randomly censored data
Authors: Cuparić, Marija 
Milošević, Bojana 
Affiliations: Probability and Mathematical Statistics 
Probability and Mathematical Statistics 
Rank: M32
Related Publication(s): 13. CMStatistics 2020
Conference: CMStatistics (13 ; 2020)
Abstract: 
Recently, the characterization based approach for the construction of goodness of fit tests has become popular. Most of the proposed tests have been designed for complete i.i.d. samples. We present the adaptation of the recently proposed exponentiality tests based on equidistribution-type characterizations for the case of randomly censored data. Their asymptotic properties are provided. We also present the results of a wide empirical power study, including the powers of several recent competitors. The results can be used as a benchmark for future tests proposed for this kind of data.
URI: https://research.matf.bg.ac.rs/handle/123456789/1877
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