Such model is called multiple linear regression or multivariable linear model. In essence, the additional predictors are expected to explain the variation in the response not explained by a simple ...

The standard ANOVA models with random effects for multi-indexed arrays of random variables with an arbitrary nesting structure on the indices are considered from the viewpoint of symmetry. It is found ...

Jun Shao, On Resampling Methods for Variance and Bias Estimation in Linear Models, The Annals of Statistics, Vol. 16, No. 3 (Sep., 1988), pp. 986-1008 ...