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Research Article | Open Access

Fractional generalized cumulative residual entropy: properties, testing uniformity, and applications to Euro Area daily smoker data

Alaa M. Abd El-Latif1Hanan H. Sakr2,3( )Mohamed Said Mohamed3
Mathematics Department, College of Sciences and Arts, Northern Border University, Rafha 91911, Saudi Arabia
Department of Management Information Systems, College of Business Administration in Hawtat Bani Tamim, Prince Sattam Bin Abdulaziz University, Saudi Arabia
Mathematics Department, Faculty of Education, Ain Shams University, Cairo 11341, Egypt
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Abstract

The fractional generalized cumulative residual entropy, a broader version of the cumulative residual entropy, holds significance in assessing the uncertainty model of random variables and maintains straightforward connections with reliability models and crucial information. This article represents and modifies some novel features of the fractional generalized cumulative residual entropy and discusses the weak convergence. Additionally, the measure is utilized to assess uniformity, involving the derivation of the limit distribution and an approximation of the test statistic's distribution. Furthermore, the concept of stability is addressed. Moreover, the presentation includes the critical points and power analysis against alternative distributions of this test statistic. Furthermore, a simulation study is carried out to compare the power value of the proposed test with that of other tests of uniformity. Moreover, the uniformity test utilizes real data on daily smokers in the countries of the Euro Area. Finally, our model's exponential distribution is applied to our model's empirical form.

CLC number: 62B10, 94A15, 94A17

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AIMS Mathematics
Pages 18064-18082

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Cite this article:
Abd El-Latif AM, Sakr HH, Mohamed MS. Fractional generalized cumulative residual entropy: properties, testing uniformity, and applications to Euro Area daily smoker data. AIMS Mathematics, 2024, 9(7): 18064-18082. https://doi.org/10.3934/math.2024881

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Received: 11 March 2024
Revised: 12 May 2024
Accepted: 20 May 2024
Published: 15 July 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)