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 …
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 …
The unit Teissier distribution and its applications
A Krishna, R Maya, C Chesneau… - Mathematical and …, 2022 - mdpi.com
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 …
introduced. It is subjected to a thorough examination of its important properties, including …
The unit Muth distribution: Statistical properties and applications
R Maya, P Jodra, MR Irshad, A Krishna - Ricerche di Matematica, 2024 - Springer
This paper introduces a bounded probability distribution which is derived from the Muth
distribution. The main statistical properties are studied and analytical expressions are …
distribution. The main statistical properties are studied and analytical expressions are …
[HTML][HTML] Introducing the unit Zeghdoudi distribution as a novel statistical model for analyzing proportional data
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 …
understanding variables constrained within the unit interval [0, 1]. This interval is crucial in …
The log exponential-power distribution: Properties, estimations and quantile regression model
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 …
used in modeling rate and proportion data sets. In this study, a new alternative model is …
Reliability estimation for stress-strength model based on Unit-half-normal distribution
Many lifetime distribution models have successfully served as population models for risk
analysis and reliability mechanisms. We propose a novel estimation procedure of stress …
analysis and reliability mechanisms. We propose a novel estimation procedure of stress …
[HTML][HTML] The unit two parameters Mirra distribution: reliability analysis, properties, estimation and applications
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 …
proportions, the unit probability models are often employed in probability and statistics. In …
A new three-parameter flexible unit distribution and its quantile regression model
This paper introduces a novel Poisson-unit-Weibull (PUW) distribution, which is defined on a
unit domain and characterized by three parameters. The PUW distribution is capable of …
unit domain and characterized by three parameters. The PUW distribution is capable of …
New bounded probability model: Properties, estimation, and applications
The article introduces a new unit distribution, an extension of Tiessier distribution,
characterized by a versatile hazard function capable of adopting diverse shapes such as …
characterized by a versatile hazard function capable of adopting diverse shapes such as …