The variability of characters within populations is generally measured as a function of the character variance, although questions of nongeographic variation are addressed as tests of mean differences ...

When a company plans a project, it will estimate the cost of the project before beginning. It may also estimate the amount of time it expects the project to take to complete. However, these estimates ...

Genetic interactions arise when the joint effect of alleles at two or more loci on a phenotype departs from simply adding up the effects of the alleles at each locus. Many examples of such ...

A convenient summary of the 'importance' of schools is the proportion of the total variance accounted for, which we will call the 'variance partition coefficient' (VPC) given by the formula: and in ...

This article proposes a new parameter, the group or class dominance probability, to measure the relative importance of random effects in one-way random effects models. This parameter is the ...

This article looks at a simple structured approach to assigning variance contributions and to assuring that the analytical procedure is fit for purpose. The ...

Where can I find the random parameter matrix in MLwiN? How do I use this to work out the residual ('unexplained') variance at each level? Variances and covariances are stored in column c1096. (See ...

Variance is a statistical calculation that numerically describes the amount of variation in a data set. If values in a data set wildly fluctuate, variance would be high and predictions based on the ...

Explore the variance in heights within populations and discover how natural selection shapes human height diversity. Animal species come in many shapes and sizes, as do the individuals and populations ...