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Testing exponentiality based on Progressively Type-I interval censored data

Year: 2025
Type: article
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.
Author: Huda Qubbaj
Language: English
Open Access status: diamond
OpenAlex ID: W4415702355
FWCI: 0.871
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Cited by: 1
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