Based on this idea, researchers named it the Maximum Agreement Linear Predictor, or MALP. This prediction approach achieves higher agreement in predictions by optimizing the concordance correlation ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
In this paper we investigate optimal prediction of the finite population regression coefficient $\beta _{N}$ under a general linear regression superpopulation model. Optimal predictors are obtained ...
We propose a generalized functional linear regression model for a regression situation where the response variable is a scalar and the predictor is a random function. A linear predictor is obtained by ...