Parametric Quantile Regression Models for Fitting Double Bounded Response with Application to COVID-19 Mortality Rate Data

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 models, based on the power Johnson <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>S</mi><mi>B</mi></msub&g...

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Bibliographic Details
Main Authors: Diego I. Gallardo, Marcelo Bourguignon, Yolanda M. Gómez, Christian Caamaño-Carrillo, Osvaldo Venegas
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
COVID-19
parametric quantile regression
power Johnson SB distribution
proportion
Online Access:https://www.mdpi.com/2227-7390/10/13/2249

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https://www.mdpi.com/2227-7390/10/13/2249

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