Linear Mixed Models (LMMs)
Charles E. McCulloch, S. R. Searle
Abstract
Charles E. McCulloch, S. R. Searle
Abstract
This chapter contains sections titled: A General Model Attributing Structure to Var(y) Estimating Fixed Effects for V Known Estimating Fixed Effects for V Unknown Predicting Random Effects for V Known Predicting Random Effects for V Unknown ANOVA Estimation of Variance Components Maximum Likelihood (ML) Estimation Restricted Maximum Likelihood (REML) ML or REML? Other Methods for Estimating Variances Appendix Exercises
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This chapter contains sections titled: A General Model Attributing Structure to Var(y) Estimating Fixed Effects for V Known Estimating Fixed Effects for V Unknown Predicting Random Effects for V Known Predicting Random Effects for V Unknown ANOVA Estimation of Variance Components Maximum Likelihood (ML) Estimation Restricted Maximum Likelihood (REML) ML or REML? Other Methods for Estimating Variances Appendix Exercises
Key concepts: Restricted maximum likelihood, Random effects model, Mathematics, Variance components, Maximum likelihood, Statistics, Mixed model, Variance (accounting)