Data defines the model by dint of genetic programming, producing the best decile table.

Multivariate Regression Trees: An Alternative Method
Bruce Ratner, Ph.D.

Statistical modeling is frequently used for making predictions. A common task - predicting a single continuous variable - is performed using the ordinary regression model. However, the task of simultaneous predictions of many continuous variables has not been popular because of the complexity of the multivariate (many-variable) regression model (MRM). The simple alternative method for the MRM, the multivariate regression tree MAID, is itself not popular because there is no software to perform the method. The purpose of this article is to present a new, readily available alternative method for the MRM - the quasi-MAID - that builds multivariate regression trees. An illustration of the new method is presented to hopefully stimulate interest in performing simultaneous prediction, especially via regression trees.

For more information about this article, call me at 516.791.3544, or e-mail,
My publisher owns the copyright of the article, about which this abstract addresses. The article will appear in my forthcoming book.
My publisher has granted me permission to discuss orally the article's content, but by no means provide an outline, draft or proof-ready of the article.

Sign-up for a free GenIQ webcast: Click here.