There are roughly a dozen major regression techniques, and each technique has several variations. The most common techniques include linear regression, linear ridge regression, k-nearest neighbors ...

Consider a heteroscedastic linear regression model in which responses are grouped so that the variance is constant within each group. Let β denote the vector of regression parameters and let θ denote ...

We describe a diagnostic method for assessing the influence of an individual case on the transformation power estimator in the Box-Cox regression model and transform-both-sides regression model ...

Understanding Weighted k-Nearest Neighbors Regression Weighted k-nearest neighbors regression is probably best explained by using a concrete example. Suppose that your data has just two predictor ...