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On Weighted Generalized Entropy for Double Truncated Distribution

2020/04/07 by Shivangi Singh, Singh, Shivangi, Chanchal Kundu +1
Decision Sciences · Mathematics · Physics and Astronomy · #62N05 #FOS: Computer and information sciences #FOS: Mathematics #Other Statistics (stat.OT) #Primary 94A17 #Probabilistic and Robust Engineering Design #Secondary 62B10 #Statistical Distribution Estimation and Applications #Statistical Mechanics and Entropy #Statistics Theory (math.ST)

paper · pdf · doi:10.48550/arxiv.2004.04267

openalex publication_date 2020/04/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The notion of weighted Renyi's entropy for truncated random variables has recently been proposed in the information-theoretic literature. In this paper, we introduce a generalized measure of it for double truncated distribution, namely weighted generalized interval entropy (WGIE), and study it in the context of reliability analysis. Several properties, including monotonicity, bounds and uniqueness of WGIE are investigated. Moreover, a simulation study is carried out to demonstrate the performance of the estimates of the proposed measure using simulated and real data sets. The role of WGIE in reliability modeling has also been investigated for a real-life problem.

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