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Quantile Regression in Longitudinal Data by Anonymous 4gOYyVfdf is a document available to read on EtoBox.

The document discusses quantile regression for longitudinal data, focusing on fixed and random effects models. It presents methods for estimating parameters while addressing issues like shrinkage and bias in dynamic panel models. Additionally, it highlights the implementation of these methods in R through the rqpd package.

Author
Anonymous 4gOYyVfdf
Language
EN