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 …

A knowledge of wind speed and wind power probability distributions is important for several
reasons such as assessing wind resources, planning wind farms and minimizing the …

Process capability indices (PCIs) are tools widely used by the industries to determine the
quality of their products and the performance of their manufacturing processes. Classic …

In this paper, we carry out robust modeling and influence diagnostics in Birnbaum‐Saunders
(BS) regression models. Specifically, we present some aspects related to BS and log‐BS …

Geostatistical modelling is widely used to describe data with spatial dependence structure.
Such modelling often assumes a Gaussian distribution, an assumption which is frequently …

Multivariate control charts are powerful and simple visual tools for monitoring the quality of a
process. This multivariate monitoring is carried out by considering simultaneously several …

A neutrosophic statistic is a random variable and it has a neutrosophic probability
distribution. So, in this paper, we introduce the new neutrosophic Birnbaum–Saunders …

Abstract The Birnbaum–Saunders model is a life distribution originated from a problem of
material fatigue that has been largely studied and applied in recent decades. A random …

In this paper, we introduce a new nonparametric kernel method for estimating asymmetric
densities based on generalized skew-Birnbaum–Saunders distributions. Kernels based on …

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