8 results about "Stepwise regression" patented technology

In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure. In each step, a variable is considered for addition to or subtraction from the set of explanatory variables based on some prespecified criterion. Usually, this takes the form of a sequence of F-tests or t-tests, but other techniques are possible, such as adjusted R², Akaike information criterion, Bayesian information criterion, Mallows's Cₚ, PRESS, or false discovery rate.