Quantile regression allows us to estimate the relationship between covariates and any
quantile of the response variable rather than the mean. Recently, several statistical …

Abstract Background and Purpose This study aimed to investigate the reproducibility of a
novel approach using 3D printed brachytherapy applicators for the treatment of skin cancer …

Due to various regulations (eg, the Basel III Accord), banks need to keep a specified amount
of capital to reduce the impact of their insolvency. This equity can be calculated using, eg …

The generalized bimodal distribution is especially efficient in modeling univariate data
exhibiting symmetry and bimodality. However, its performance is poor when the data show …

Developing families of distributions that can be flexible in modeling different shapes of data
remains a strong emphasis in research. Many families of distributions appeared in the …

In this paper, we introduce an extension of the sinh Cauchy distribution including a double
regression model for both the quantile and scale parameters. This model can assume …

In this paper we introduce an extension of the power Maxwell distribution. We also discuss a
reparametrized version of this model applied to quantile regression. Some properties of the …

In this work, we propose a new bimodal distribution with support in the real line. We obtain
some properties of the model, such as moments, quantiles, and mode, among others. The …

The generalized bimodal distribution is especially efficient in modeling univariate data
exhibiting symmetry and bimodality. However, its performance is poor when the data show …

In this paper, we introduce an extension of the sinh Cauchy distribution including a double
regression model for both the quantile and scale parameters. This model can assume …