Maximum Likelihood Estimation of Non-Normal Random Effects and Random Errors in Nonlinear Random Effects Models
Journal of Educational and Behavioral Statistics
Published online on April 07, 2026
Abstract
Journal of Educational and Behavioral Statistics, Ahead of Print.
Nonlinear random effects models (NREMs) are particularly useful for modeling longitudinal data that follow intrinsically nonlinear trends. However, NREMs assume both random effects and random errors to be normally distributed, which is likely violated ...
Nonlinear random effects models (NREMs) are particularly useful for modeling longitudinal data that follow intrinsically nonlinear trends. However, NREMs assume both random effects and random errors to be normally distributed, which is likely violated ...