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On the unit Burr-XII distribution with the quantile regression modeling and applications
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 …
The unit log–log distribution: A new unit distribution with alternative quantile regression modeling and educational measurements applications
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 …
[HTML][HTML] Unit exponential probability distribution: Characterization and applications in environmental and engineering data modeling
Distributions with bounded support show considerable sparsity over those with unbounded
support, despite the fact that there are a number of real-world contexts where observations …
support, despite the fact that there are a number of real-world contexts where observations …
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 …
[HTML][HTML] 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 …
[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 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] New lifetime distribution for modeling data on the Unit Interval: Properties, Applications and Quantile Regression
Probability distributions are very useful in modeling lifetime datasets. However, no specific
distribution is suitable for all kinds of datasets. In this study, the bounded truncated Cauchy …
distribution is suitable for all kinds of datasets. In this study, the bounded truncated Cauchy …
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 …
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 …