Length Biased Burr-III Distribution for Modeling the Glass and Carbon Fiber Strength

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Authors: M. M. E. Abd El-Monsef, S. A. Desoky, W. A. Hassanein
Cited by: 1

Abstract

This paper introduces the length-biased Burr III (LBBIII) distribution, derived by applying a length-biased weighting scheme to the standard two-parameter Burr III distribution. The model is particularly suitable for lifetime and strength data, where the probability of observing an event is proportional to its magnitude. Most of its statistical and reliability properties were derived. Four estimation methods are examined and a simulation study evaluates the finite-sample performance of these estimators. The practical utility of the LBBIII distribution is demonstrated using two real datasets on glass and carbon fiber strength. The proposed distribution consistently outperforms the standard Burr-III and some well-known distributions. These findings establish the LBBIII distribution as a flexible and superior model for length-biased reliability and strength data.

Fields of Study & Subjects

Statistical Distribution Estimation and Applications Reliability and Maintenance Optimization Probabilistic and Robust Engineering Design

Publication details

Journal / source
Asian Journal of Probability and Statistics
Publisher
Sciencedomain International
Volume
28
Issue
5
Pages
1–14
Publication date
18 April 2026
Language
EN