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The analysis of unbalanced linear models with variance components
Author(s) -
Engel B.
Publication year - 1990
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1990.tb01282.x
Subject(s) - variance components , variance (accounting) , mathematics , variance based sensitivity analysis , statistics , linear model , inference , analysis of variance , statistical inference , random effects model , one way analysis of variance , econometrics , computer science , artificial intelligence , medicine , meta analysis , accounting , business
Statistical inference for fixed effects, random effects and components of variance in an unbalanced linear model with variance components will be discussed. Variance components will be estimated by Restricted Maximum Likelihood. Iterative procedures for computing the estimates, such as Fisher scoring and the EM‐algorithm, are described.