The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.

“Show me the data,” we say. But we don't mean it. Instead of the numbers generated by measurement, which can be billions for a single experiment, we wish to see results. This frequent confusion ...

This is a preview. Log in through your library . Abstract Information on the breeding value of an individual and of its sibs, in addition to that given by its own performance, is provided by its rank ...