Quantile estimation
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Parametric Quantile Regression using Quantile-based Asymmetric Family of the Distributions
Abstract: Quantile regression is used for finding the effects of covariates on different quantiles of the response variable. The contribution of this article is to develop a theory of quantile regression using the Quantile-based asymmetric (QBA) family (similar to GAMLSS for mean regression) and then apply the proposed approach for analyzing COVID-19 data. More precisely, we estimate regression quantiles and investigate the asymptotic estimators under a generalized linear modeling framework, but …
Published in Research & Reviews : Journal of Statistics · Vol. 11, Issue 3, 2022 · pp. 54–66 Read article