Improved transformation‐based quantile regression

DOI10.1002/CJS.11240zbMath1310.62081OpenAlexW2067100859MaRDI QIDQ5247418

M. C. Jones, Marco Geraci

Publication date: 24 April 2015

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11240

zbMATH Keywords

Box-Cox transformationtwo-stage estimationbounded responseAranda-Ordaz transformation

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (6)

The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates ⋮ Aranda-Ordaz quantile regression for student performance assessment ⋮ Variable dispersion beta regressions with parametric link functions ⋮ Prediction of small area quantiles for the conservation effects assessment project using a mixed effects quantile regression model ⋮ Multiple imputation for bounded variables ⋮ Bayesian estimation of subset threshold autoregressions: short-term forecasting of traffic occupancy

Uses Software

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Cites Work

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• Linear quantile mixed models
• Quantile regression, Box-Cox transformation model and the U.S. wage structure, 1963--1987
• The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators. With comments by Ronald A. Thisted and M. R. Osborne and a rejoinder by the authors
• An interior point algorithm for nonlinear quantile regression
• A new family of power transformations to improve normality or symmetry
• Implementing Box–Cox Quantile Regression
• On two families of transformations to additivity for binary response data
• Regression Quantiles
• Power Transformation Toward a Linear Regression Quantile

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