The Weibull Birnbaum-Saunders Distribution: Properties and Applications
Lazhar Benkhelifa

TL;DR
This paper introduces the Weibull Birnbaum-Saunders distribution, a flexible four-parameter lifetime model with diverse failure rate shapes, and demonstrates its applicability through theoretical properties and real data analysis.
Contribution
It proposes a new four-parameter lifetime distribution with versatile failure rate shapes and investigates its properties and estimation methods.
Findings
The distribution can model various failure rate shapes.
Structural properties and moments are derived.
Real data applications demonstrate its flexibility.
Abstract
This paper introduces a new four-parameter lifetime model called the Weibull Birnbaum-Saunders distribution. This new distribution represents a more flexible model for the lifetime data. Its failure rate function can be increasing, decreasing, upside-down bathtub shaped, bathtub-shaped or modified bathtub shaped depending on its parameters. Some structural properties of the proposed model are investigated including expansions for the cumulative and density functions, moments, generating function, mean deviations, order statistics and reliability. The maximum likelihood estimation method is used to estimate the model parameters and the observed information matrix is determined. The flexibility of the new model is shown by means of two real data sets.
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Reliability and Maintenance Optimization · Probabilistic and Robust Engineering Design
