Birnbaum‐Saunders distribution: A review of models, analysis, and applications
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 …
fatigue life of a metal, subject to cyclic stress. Since then, extensive work has been done on …
Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data
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 …
statistical literature and has proved to be very versatile and efficient across a wide range of …
New methods to define heavy-tailed distributions with applications to insurance data
Heavy-tailed distributions play an important role in modelling data in actuarial and financial
sciences. In this article, nine new methods are suggested to define new distributions suitable …
sciences. In this article, nine new methods are suggested to define new distributions suitable …
Capability indices for Birnbaum–Saunders processes applied to electronic and food industries
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 …
quality of their products and the performance of their manufacturing processes. Classic …
Exploring the potential use of the Birnbaum‐Saunders distribution in inventory management
P Wanke, V Leiva - Mathematical Problems in Engineering, 2015 - Wiley Online Library
Choosing the suitable demand distribution during lead‐time is an important issue in
inventory models. Much research has explored the advantage of following a distributional …
inventory models. Much research has explored the advantage of following a distributional …
Log‐symmetric quantile regression models
Regression models based on the log‐symmetric family of distributions are particularly useful
when the response variable is continuous, positive, and asymmetrically distributed. In this …
when the response variable is continuous, positive, and asymmetrically distributed. In this …
Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications
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 …
distribution. So, in this paper, we introduce the new neutrosophic Birnbaum–Saunders …
Generalized Birnbaum–Saunders kernel density estimators and an analysis of financial data
The kernel method is a nonparametric procedure used to estimate densities with support in
R. When nonnegative data are modeled, the classical kernel density estimator presents a …
R. When nonnegative data are modeled, the classical kernel density estimator presents a …
Robust multivariate control charts based on Birnbaum–Saunders distributions
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 …
process. This multivariate monitoring is carried out by considering simultaneously several …
Birnbaum–Saunders statistical modelling: a new approach
Modelling based on the Birnbaum–Saunders distribution has received considerable
attention in recent years. In this article, we introduce a new approach for Birnbaum …
attention in recent years. In this article, we introduce a new approach for Birnbaum …