variantiecomponentenanalyse
Variantiecomponentenanalyse, in English often called variance component analysis, is a statistical method used to estimate how much of the observed variation in a trait can be attributed to different random sources. It is widely used in fields such as genetics, animal and plant breeding, psychology, and quality control to understand the structure of variability and to quantify contributions from factors like genotype, environment, and measurement error.
The standard framework uses linear mixed models. A typical model for observed data y is y = Xβ
Estimation is commonly performed by restricted maximum likelihood (REML), though maximum likelihood and Bayesian methods are
Applications include estimating heritability in breeding programs, partitioning phenotype variance into genotype, environment, and interactions, and