JSTOR Daily

Linear Spaces and Unbiased Estimation--Application to the Mixed Linear Model

The purpose of the Institute of Mathematical Statistics (IMS) is to foster the development and dissemination of the theory and applications of statistics and probability. The Institute was formed at a ...
JSTOR Daily

A Property of the Dispersion Matrix of the Best Linear Unbiased Estimator in the General Gauss-Markov Model

Solutions are derived to three various versions of the problem of when the dispersion matrix of the best linear unbiased estimator of the expectation vector in the general Gauss-Markov model can be ...
Nature

Linear Mixed Models and Estimation Techniques

Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...
Simon Fraser University

Linear Models

SAS/INSIGHT fit analysis provides the traditional parametric regression analysis assuming that the regression function is linear in the unknown parameters. The relationship is expressed as an equation ...
Simon Fraser University

Random Effects Models and the Analysis of Panel Data

SAS/STAT software contains two procedures for fitting general linear models to panel data. The GLM procedure fits general linear models involving fixed effects. The more general MIXED procedure fits ...
insider.si.edu

Linear mixed models : a practical guide using statistical software / Brady T. West, Kathleen B. Welch, Andrzej T. Gałecki, University of Michigan, Ann Arbor, USA ; with ...

"First edition published in 2006." 1. Introduction -- What are linear mixed models (LMMs)? -- Models with random effects for clustered data -- Models for longitudinal or repeated-measures data -- A ...