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 …
On a partial least squares regression model for asymmetric data with a chemical application in mining
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 …
a collinearity problem that can be solved by partial least squares (PLS) regression. In …
[HTML][HTML] Modeling high-frequency financial data using R and Stan: A bayesian autoregressive conditional duration approach
Abstract In econometrics, Autoregressive Conditional Duration (ACD) models use high-
frequency economic or financial duration data, which mostly exhibit irregular time intervals …
frequency economic or financial duration data, which mostly exhibit irregular time intervals …
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 …
Multivariate Birnbaum-Saunders distributions: modelling and applications
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 …
family of distributions has now found widespread uses in some areas of the applied …
Incorporation of frailties into a cure rate regression model and its diagnostics and application to melanoma data
Cure rate models have been widely studied to analyze time‐to‐event data with a cured
fraction of patients. Our proposal consists of incorporating frailty into a cure rate model, as an …
fraction of patients. Our proposal consists of incorporating frailty into a cure rate model, as an …
Cokriging prediction using as secondary variable a functional random field with application in environmental pollution
Cokriging is a geostatistical technique that is used for spatial prediction when realizations of
a random field are available. If a secondary variable is cross-correlated with the primary …
a random field are available. If a secondary variable is cross-correlated with the primary …
Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data
F Garcia-Papani, V Leiva, MA Uribe-Opazo… - Chemometrics and …, 2018 - Elsevier
Geostatistical modelling is widely used to describe data with spatial dependence structure.
Such modelling often assumes a Gaussian distribution, an assumption which is frequently …
Such modelling often assumes a Gaussian distribution, an assumption which is frequently …
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 …