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

A bounded form of the Teissier distribution, namely the unit Teissier distribution, is
introduced. It is subjected to a thorough examination of its important properties, including …

To define useful numbers having values from 0 to 1, as percentages, probabilities, and
proportions, the unit probability models are often employed in probability and statistics. In …

Quantile regression provides a framework for modeling the relationship between a response
variable and covariates using the quantile function. This work proposes a regression model …

This paper introduces a bounded probability distribution which is derived from the Muth
distribution. The main statistical properties are studied and analytical expressions are …

Unit distributions are essential in statistical modeling, providing a robust framework for
understanding variables constrained within the unit interval [0, 1]. This interval is crucial in …

Unit distributions, exhibiting inherent symmetrical properties, have been extensively studied
across various fields. A significant challenge in these studies, particularly evident in …

A flexible distribution has been introduced to handle random variables in the unit interval.
This distribution is based on an exponential transformation of the truncated positive normal …

In this work, we propose a general framework for models with support in the unit interval,
which is obtained using the technique of random variable transformations. For this class, the …

Recently, bounded distributions have attracted attention. These distributions are frequently
used in modeling rate and proportion data sets. In this study, a new alternative model is …