An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data
Quantile regression allows us to estimate the relationship between covariates and any
quantile of the response variable rather than the mean. Recently, several statistical …
quantile of the response variable rather than the mean. Recently, several statistical …
On the unit Burr-XII distribution with the quantile regression modeling and applications
MÇ Korkmaz, C Chesneau - Computational and Applied Mathematics, 2021 - Springer
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 …
obtain a new two-parameter distribution on the unit interval called the unit Burr-XII …
On the unit-Chen distribution with associated quantile regression and applications
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 …
transformation of a positive random variable following the Chen distribution with respect to …
The unit log–log distribution: A new unit distribution with alternative quantile regression modeling and educational measurements applications
MÇ Korkmaz, ZS Korkmaz - Journal of Applied Statistics, 2023 - Taylor & Francis
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 …
bounded (0, 1) interval. Basic distributional properties such as model shapes, stochastic …
On the arcsecant hyperbolic normal distribution. Properties, quantile regression modeling and applications
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 …
transformation of a normal random variable involving the hyperbolic secant function and its …
A new quantile regression for modeling bounded data under a unit Birnbaum–Saunders distribution with applications in medicine and politics
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 …
variable and covariates using the quantile function. This work proposes a regression model …
[HTML][HTML] Analysis of unit-Weibull based on progressive type-II censored with optimal scheme
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 …
of the Unit-Weibull distribution using two classical methods and the Bayesian method. In the …
Bayesian and non-Bayesian inference for unit-exponentiated half-logistic distribution with data analysis
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 …
quantities with values between zero and one. In this paper, we investigated an appropriate …
Reliability estimation of a multicomponent stress‐strength model for unit Gompertz distribution under progressive Type II censoring
We consider the problem of estimating multicomponent stress‐strength (MSS) reliability
under progressive Type II censoring when stress and strength variables follow unit …
under progressive Type II censoring when stress and strength variables follow unit …
An efficient stress–Strength reliability estimate of the Unit gompertz distribution using ranked set sampling
In this paper, the estimation of the stress–strength reliability is taken into account when the
stress and strength variables have unit Gompertz distributions with a similar scale …
stress and strength variables have unit Gompertz distributions with a similar scale …