Abstract
Traditionally, linear models have been divided into three categories: fixed effects models, random effects models, and mixed models. The categorization depends on whether the β vector in Y = Xβ + e is fixed, random, or has both fixed and random elements. Random effects models always assume that there is a fixed overall mean for observations, so random effects models are actually mixed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer Science+Business Media New York
About this chapter
Cite this chapter
Christensen, R. (1996). Mixed Models and Variance Components. In: Plane Answers to Complex Questions. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2477-6_12
Download citation
DOI: https://doi.org/10.1007/978-1-4757-2477-6_12
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-2479-0
Online ISBN: 978-1-4757-2477-6
eBook Packages: Springer Book Archive