Testing exponentiality based on Progressively Type-I interval censored data

Authors

  • Huda Qubbaj Department of Mathematics, The University of Jordan

DOI:

https://doi.org/10.19139/soic-2310-5070-2394

Keywords:

Entropy; Non-parametric statistics; Type-I Interval Censoring

Abstract

In this paper we propose non-parametric estimates for the information measure entropy when a progressively Type-I interval censored data is available. Different non-parametric approaches are used for deriving the estimates. Entropy-based tests of exponentiality are proposed. The critical values and the power values of the proposed tests are simulated and studied under various alternatives. Real life data sets are presented and analysed.

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Published

2025-08-13

Issue

Vol. 14 No. 5 (2025)

Section

Research Articles

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How to Cite

Testing exponentiality based on Progressively Type-I interval censored data. (2025). Statistics, Optimization & Information Computing, 14(5), 2892-2902. https://doi.org/10.19139/soic-2310-5070-2394