The analysis of unbalanced linear models with variance components
- 1 December 1990
- journal article
- Published by Wiley in Statistica Neerlandica
- Vol. 44 (4) , 195-219
- https://doi.org/10.1111/j.1467-9574.1990.tb01282.x
Abstract
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.Keywords
This publication has 76 references indexed in Scilit:
- Estimation of variance components: what is missing in theEMalgorithmJournal of Statistical Computation and Simulation, 1986
- Robust Estimation of Variance ComponentsTechnometrics, 1986
- Monte Carlo Comparison of ANOVA, MIVQUE, REML, and ML Estimators of Variance ComponentsTechnometrics, 1984
- Minimum Variance Quadratic Unbiased Estimation (MIVQUE) of Variance ComponentsTechnometrics, 1978
- Minimum Variance Quadratic Unbiased Estimation (MIVQUE) of Variance ComponentsTechnometrics, 1978
- Maximum Likelihood Approaches to Variance Component Estimation and to Related ProblemsJournal of the American Statistical Association, 1977
- A Simple Method for Computing the Inverse of a Numerator Relationship Matrix Used in Prediction of Breeding ValuesPublished by JSTOR ,1976
- Newton-Raphson and Related Algorithms for Maximum Likelihood Variance Component EstimationTechnometrics, 1976