Abstract
A rank method is presented for estimating regression parameters in the linear model when observations are correlated. This correlation is accounted for by including a random effect term in the linear model. A method is proposed that makes few assumptions about the random effect and error distribution. The main goal of this article is to determine the distributions for which this method performs well relative to existing methods.
DOI
10.22237/jmasm/1083369900
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
