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 …

Abstract The Birnbaum‐Saunders (BS) distribution is a model that frequently appears in the
statistical literature and has proved to be very versatile and efficient across a wide range of …

In chemometrical applications, covariates in regression models are often correlated, causing
a collinearity problem that can be solved by partial least squares (PLS) regression. In …

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 …

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

Abstract The Birnbaum–Saunders (BS) distribution is a model that frequently appears in the
statistical literature and has proved to be very versatile and efficient across a wide range of …

Ranked set sampling (RSS) has been proved to be an efficient sampling design for
parametric and non-parametric inference. In this paper, we consider RSS-based estimation …

Data with spatial dependence are often modeled by geoestatistical tools. In spatial
regression, the mean response is described using explanatory variables with georeferenced …

In this paper, the modification of multiple dependent state sampling plan is proposed and
designed for assuring a mean lifetime of the products under Birnbaum–Saunders …

Income modeling is crucial in determining workers' earnings and is an important research
topic in labor economics. Traditional regressions based on normal distributions are …