In this paper, a new distribution defined on (0, 1) is introduced. It is obtained by the transformation of a positive random variable following the Chen distribution with respect to the inverted exponential function. Basic distributional properties of the newly defined distribution are studied. Then, as a statistical model, we examine different methods of estimation for related parameters. We assess the performance of the obtained estimators by a complete simulation study. Subsequently, the quantile regression model based on the proposed distribution is introduced. Applications of the proposed models to real data sets show that they have better modeling capabilities than fair competitors. © 2022 Mathematical Institute Slovak Academy of Scie...
International audienceIn this paper, we consider the problem of estimating an extreme quantile of a ...
Quantile regression model has caught a lot of attention lately in many areas including statistics an...
Quantile regression offers a more complete statistical model than mean regression and now has widesp...
In this paper, we develop a continuous distribution on the unit interval characterized by the distri...
In this paper, we will present a new, more flexible class of distributions with a domain in the inte...
In this paper, a new alternative unit distribution is presented. It consists of applying the quadrat...
In this paper, we propose and derive a new regression model for response variables defined on the op...
This work proposes a new distribution defined on the unit interval. It is obtained by a novel trans...
In this paper, a flexible model called extended Chen (EC) distribution is derived from the generaliz...
Quantile regression is a class of methods voted to the modelling of conditional quantiles. In a Bay...
We explore a particular fully parametric approach to quantile regression and show that this approach...
The finite-sample distributions of the regression quantile and of the extreme regression quantile ar...
Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them i...
A new discrete two-parameter distribution is introduced by discretizing a generalized half-normal di...
We explore a particular fully parametric approach to quantile regression and show that this approach...
International audienceIn this paper, we consider the problem of estimating an extreme quantile of a ...
Quantile regression model has caught a lot of attention lately in many areas including statistics an...
Quantile regression offers a more complete statistical model than mean regression and now has widesp...
In this paper, we develop a continuous distribution on the unit interval characterized by the distri...
In this paper, we will present a new, more flexible class of distributions with a domain in the inte...
In this paper, a new alternative unit distribution is presented. It consists of applying the quadrat...
In this paper, we propose and derive a new regression model for response variables defined on the op...
This work proposes a new distribution defined on the unit interval. It is obtained by a novel trans...
In this paper, a flexible model called extended Chen (EC) distribution is derived from the generaliz...
Quantile regression is a class of methods voted to the modelling of conditional quantiles. In a Bay...
We explore a particular fully parametric approach to quantile regression and show that this approach...
The finite-sample distributions of the regression quantile and of the extreme regression quantile ar...
Galton used quantiles more than a hundred years ago in describing data. Tukey and Parzen used them i...
A new discrete two-parameter distribution is introduced by discretizing a generalized half-normal di...
We explore a particular fully parametric approach to quantile regression and show that this approach...
International audienceIn this paper, we consider the problem of estimating an extreme quantile of a ...
Quantile regression model has caught a lot of attention lately in many areas including statistics an...
Quantile regression offers a more complete statistical model than mean regression and now has widesp...