A new quantile regression for the COVID-19 mortality rates in the United States

DOI10.1007/s40314-021-01553-zzbMath1476.60029OpenAlexW3204677477WikidataQ114219324 ScholiaQ114219324MaRDI QIDQ2052291

Gauss M. Cordeiro, Fernando A. Peña-Ramírez, Tatiane Fontana Ribeiro, Renata Rojas Guerra

Publication date: 25 November 2021

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-021-01553-z

zbMATH Keywords

unit intervalpandemicCOVID-19unit Burr XII distribution

Mathematics Subject Classification ID

Linear inference, regression (62J99) Probability distributions: general theory (60E05)

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Uses Software

• R

Cites Work

• The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation
• On the unit Burr-XII distribution with the quantile regression modeling and applications
• A note on a general definition of the coefficient of determination
• A new heavy-tailed distribution defined on the bounded interval: the logit slash distribution and its application
• The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates
• Detecting Model Misspecification in Inflated Beta Regressions
• Unnamed Item

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