A novel four-parameter lifetime model: properties and applications

In this work, we introduce a new continuous lifetime distribution, called the Power Three-parameters Lindley distribution (PTPL). We explore the maximum likelihood estimation-based inference for the PTPL distribution, and introduce three random data generation algorithms. A Monte Carlo simulation study is conducted to evaluate the performance of the proposed models. Empirical applications to two real-world engineering datasets demonstrate its practical utility, confirm the model's flexibility, and consistently outperform existing lifetime models across various scenarios.

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Publication Details

Journal
Gulf Journal of Mathematics
Published
2025-08-18
DOI
https://doi.org/10.56947/gjom.v20i2.3072
Primary Topic
Statistical Methods and Inference
Type
article
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article

A novel four-parameter lifetime model: properties and applications

Bariza Kahloul, Djabrane Yahia
4 links
Gulf Journal of Mathematics
Statistical Methods and Inference
article

A novel four-parameter lifetime model: properties and applications

Bariza Kahloul, Djabrane Yahia
article en

Abstract

In this work, we introduce a new continuous lifetime distribution, called the Power Three-parameters Lindley distribution (PTPL). We explore the maximum likelihood estimation-based inference for the PTPL distribution, and introduce three random data generation algorithms. A Monte Carlo simulation study is conducted to evaluate the performance of the proposed models. Empirical applications to two real-world engineering datasets demonstrate its practical utility, confirm the model's flexibility, and consistently outperform existing lifetime models across various scenarios.

Gulf Journal of MathematicsVol. 20(2)
University of Biskra (DZ)
Openalex Percentile: Top 80%
Statistical Methods and Inference
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