Information Properties of Consecutive Systems Using Fractional Generalized Cumulative Residual Entropy

We investigate some information properties of consecutive k-out-of-n:G systems in light of fractional generalized cumulative residual entropy. We firstly derive a formula to compute fractional generalized cumulative residual entropy related to the system’s lifetime and explore its preservation properties in terms of established stochastic orders. Additionally, we obtain useful bounds. To aid practical applications, we propose two nonparametric estimators for the fractional generalized cumulative residual entropy in these systems. The efficiency and performance of these estimators are illustrated using simulated and real datasets.

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Publication Details

Journal
Fractal and Fractional
Published
2024-09-28
DOI
https://doi.org/10.3390/fractalfract8100568
Citations
2
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.92
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article

Information Properties of Consecutive Systems Using Fractional Generalized Cumulative Residual Entropy

Mohamed Kayid, Mansour Shrahili
2 citations
Fractal and Fractional
Probabilistic and Robust Engineering Design
0.92
article

Information Properties of Consecutive Systems Using Fractional Generalized Cumulative Residual Entropy

Mohamed Kayid, Mansour Shrahili
article en
2 citations

Abstract

We investigate some information properties of consecutive k-out-of-n:G systems in light of fractional generalized cumulative residual entropy. We firstly derive a formula to compute fractional generalized cumulative residual entropy related to the system’s lifetime and explore its preservation properties in terms of established stochastic orders. Additionally, we obtain useful bounds. To aid practical applications, we propose two nonparametric estimators for the fractional generalized cumulative residual entropy in these systems. The efficiency and performance of these estimators are illustrated using simulated and real datasets.

Fractal and FractionalVol. 8(10)
King Saud University (SA)
Openalex Percentile: Top 21%
Probabilistic and Robust Engineering Design
0.92
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