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Testing goodness of fit using progressively Type-II censored data
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DOI：10.1007/s13198-026-03242-8.png)
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Abstract
En 中文
This paper develops new goodness-of-fit tests for continuous distributions using progressively Type II censored data. By leveraging the transformation of Balakrishnan and Sandhu (Am Stat 49:229-230, 1995), the censored data are converted into a complete sample from a standard uniform distribution, forming the basis of our tests. We examine both fully specified null distributions and cases with unknown parameters. Simulation studies show that several of the proposed tests are highly competitive, frequently outperforming existing methods.
Keywords:
Empirical distribution function (EDF) statistics
Goodness-of-fit testing
Progressive Type-II censoring
Uniform distribution
Journal
I
IF:
1.4
Papers:
291
Citations:
3.0K