Recently, analysis of variance (ANOVA) random effects models have been applied to data sets consisting of repeated measurements of pollutants within factories in order to identify determinants of ...

Hybrids are broadly used in plant breeding and accurate estimation of variance components is crucial for optimizing genetic gain. Genome-wide information may be used to explore models designed to ...

Townsend and Searle [1971] presented a minimum variance, unbiased quadratic estimator for the variance component in a one-way classification when the data is unbalanced. This paper extends one aspect ...

The authors explore likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, they use local asymptotic approximations to ...

Models to estimate heritability (twin or SNP h2) are typically linear models that can be seen as extensions of the simple linear model between two variables, from which one estimates a correlation.

We continue the exploration of the statistical landscape, including polygenic risk scores (calculation and evaluation), longitudinal models, to conclude on how Statistical Equation Modeling (SEM) can ...