An adaptive linear regression approach for modeling heavy-tailed longitudinal data

DOI10.1080/03610918.2018.1491990OpenAlexW2902839556MaRDI QIDQ5088036

Ahmed M. Gad, Wafaa I. M. Ibrahim

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1491990

zbMATH Keywords

longitudinal datarepeated measuresleast absolute deviationheavy-tailedrobust estimatoradaptive linear regression

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Bayesian analysis of skew-normal independent linear mixed models with heterogeneity in the random-effects population
• Estimation in nonlinear mixed-effects models using heavy-tailed distributions
• Heavy-tailed longitudinal data modeling using copulas
• Estimating the variance of the LAD regression coefficients.
• On adaptive linear regression
• Median Regression Models for Longitudinal Data with Dropouts
• Modeling Longitudinal Data

This page was built for publication: An adaptive linear regression approach for modeling heavy-tailed longitudinal data