Birnbaum‐Saunders distribution: A review of models, analysis, and applications
N Balakrishnan, D Kundu - Applied Stochastic Models in …, 2019 - Wiley Online Library
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 …
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 …
Birnbaum-Saunders quantile regression models with application to spatial data
In the present paper, a novel spatial quantile regression model based on the Birnbaum–
Saunders distribution is formulated. This distribution has been widely studied and applied in …
Saunders distribution is formulated. This distribution has been widely studied and applied in …
Birnbaum–Saunders autoregressive conditional duration models applied to high-frequency financial data
Modern financial markets now record the precise time of each stock trade, along with price
and volume, with the aim of analysing the structure of the times between trading events …
and volume, with the aim of analysing the structure of the times between trading events …
Birnbaum–Saunders spatial modelling and diagnostics applied to agricultural engineering data
F Garcia-Papani, MA Uribe-Opazo, V Leiva… - … Research and Risk …, 2017 - Springer
Applications of statistical models to describe spatial dependence in geo-referenced data are
widespread across many disciplines including the environmental sciences. Most of these …
widespread across many disciplines including the environmental sciences. Most of these …
Reparameterized Birnbaum-Saunders regression models with varying precision
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 …
model with varying precision, which generalizes the existing works in the literature on the …
Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression
Data with spatial dependence are often modeled by geoestatistical tools. In spatial
regression, the mean response is described using explanatory variables with georeferenced …
regression, the mean response is described using explanatory variables with georeferenced …
Managing inventory and service levels in a safety stock‐based inventory routing system with stochastic retailer demands
E Yadollahi, EH Aghezzaf, B Raa - Applied Stochastic Models …, 2017 - Wiley Online Library
The inherent uncertainty in supply chain systems compels managers to be more perceptive
to the stochastic nature of the systems' major parameters, such as suppliers' reliability …
to the stochastic nature of the systems' major parameters, such as suppliers' reliability …
On a tobit–Birnbaum–Saunders model with an application to medical data
The tobit model allows a censored response variable to be described by covariates. Its
applications cover different areas such as economics, engineering, environment and …
applications cover different areas such as economics, engineering, environment and …