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 …
An errors-in-variables model based on the Birnbaum–Saunders distribution and its diagnostics with an application to earthquake data
Regression modelling where explanatory variables are measured with error is a common
problem in applied sciences. However, if inappropriate analysis methods are applied, then …
problem in applied sciences. However, if inappropriate analysis methods are applied, then …
A new Birnbaum–Saunders distribution and its mathematical features applied to bimodal real-world data from environment and medicine
J Reyes, J Arrué, V Leiva, C Martin-Barreiro - Mathematics, 2021 - mdpi.com
In this paper, we propose and derive a Birnbaum–Saunders distribution to model bimodal
data. This new distribution is obtained using the product of the standard Birnbaum …
data. This new distribution is obtained using the product of the standard Birnbaum …
How the sampling variances affect the linear predictor of the Fay-Herriot model
L Marcis, MC Pagliarella, R Salvatore - Metron, 2024 - Springer
Abstract The Fay-Herriot model can be seen as a linear mixed-effects model, with known
within-subject variance parameters. These values are given by the sampling variances of …
within-subject variance parameters. These values are given by the sampling variances of …
Modeling mortality based on pollution and temperature using a new Birnbaum–Saunders autoregressive moving average structure with regressors and related …
Environmental agencies are interested in relating mortality to pollutants and possible
environmental contributors such as temperature. The Gaussianity assumption is often …
environmental contributors such as temperature. The Gaussianity assumption is often …
The r‐hypergeometric distribution: Characterization, mathematical methods, simulations, and applications in sciences and engineering
M Díaz‐Rodríguez, V Leiva… - … Methods in the …, 2023 - Wiley Online Library
In this article, we introduce a novel univariate discrete distribution called the r‐
hypergeometric model. This distribution has the sampling characteristics with replacement of …
hypergeometric model. This distribution has the sampling characteristics with replacement of …