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<p>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.</p>

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Testing goodness of fit using progressively Type-II censored data

  • 期刊论文

  • 发表日期：

    2026年4月2日

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  • Ayman Baklizi,
  • Reza Pakyari

摘要

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.