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07/13/2022
Parametric quantile regression for income data
Univariate normal regression models are statistical tools widely applied...
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06/26/2022
The shared weighted Lindley frailty model for cluster failure time data
The primary goal of this paper is to introduce a novel frailty model bas...
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10/09/2021
A parametric quantile beta regression for modeling case fatality rates of COVID-19
Motivated by the case fatality rate (CFR) of COVID-19, in this paper, we...
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09/27/2021
A Bimodal Model for Extremes Data
In extreme values theory, for a sufficiently large block size, the maxim...
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08/18/2021
A Model for Bimodal Rates and Proportions
The beta model is the most important distribution for fitting data with ...
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06/19/2021
On the bimodal Gumbel model with application to environmental data
The Gumbel model is a very popular statistical model due to its wide app...
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03/12/2021
Parametric quantile regression models for fitting double bounded response with application to COVID-19 mortality rate data
In this paper, we develop two fully parametric quantile regression model...
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08/26/2020
Improved estimators in beta prime regression models
In this paper, we consider the beta prime regression model recently prop...
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12/19/2018
The negative binomial beta prime regression model with cure rate
This paper introduces a cure rate survival model by assuming that the ti...
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04/20/2018
A new regression model for positive data
In this paper, we propose a regression model where the response variable...
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12/12/2017
Zero-Modified Poisson-Lindley distribution with applications in zero-inflated and zero-deflated count data
The main object of this article is to present an extension of the zero-i...
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11/29/2017
Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion
Real count data time series often show the phenomenon of the underdisper...
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11/29/2017
