Birnbaum and Saunders introduced a two‐parameter lifetime distribution to model the
fatigue life of a metal, subject to cyclic stress. Since then, extensive work has been done on …

Since its origins and numerous applications in material science, the Birnbaum–Saunders
family of distributions has now found widespread uses in some areas of the applied …

Modelling based on the Birnbaum–Saunders distribution has received considerable
attention in recent years. In this article, we introduce a new approach for Birnbaum …

We propose a methodology based on a reparameterized Birnbaum-Saunders regression
model with varying precision, which generalizes the existing works in the literature on the …

In survival models, some covariates affecting the lifetime could not be observed or
measured. These covariates may correspond to environmental or genetic factors and be …

Rising industrial pollution, exacerbated by climate change, underscores the need for
effective environmental monitoring. Leveraging sensor advancements and Birnbaum …

Statistical process control is always intrigued by the design of effective control charts for
monitoring production processes and determining assignable causes of variations. It can be …

The Birnbaum–Saunders (BS) distribution is receiving considerable attention. We propose a
methodology for inventory logistics that allows demand data with zeros to be modeled by …

Abstract The Birnbaum–Saunders (BS) distribution is a model that is receiving considerable
attention due to its good properties. We provide some results on moments of a …

Survival models with frailty are used when additional data are non-available to explain the
occurrence time of an event of interest. This non-availability may be considered as a random …