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

In this paper, we modify the Burr-XII distribution through the inverse exponential scheme to
obtain a new two-parameter distribution on the unit interval called the unit Burr-XII …

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 …

In the most recent era, the extensions of the probability models via trigonometry methods
have received great attention. This paper also offers a novel trigonometric version of the …

In this paper, we propose a new distribution, named unit log–log distribution, defined on the
bounded (0, 1) interval. Basic distributional properties such as model shapes, stochastic …

Here, we present a new bounded distribution known as the power Lambert uniform
distribution, and we deduce some of its statistical properties such as quantile function …

This work proposes a new distribution defined on the unit interval. It is obtained by a novel
transformation of a normal random variable involving the hyperbolic secant function and its …

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 …

Using progressive Type-II censoring data, this study deals with the estimation of parameters
of the Unit-Weibull distribution using two classical methods and the Bayesian method. In the …

Unit distributions are typically used in probability theory and statistics to illustrate useful
quantities with values between zero and one. In this paper, we investigated an appropriate …