Statistical Prediction by Discriminant Analysis
Robert G. Miller · American Meteorological Society eBooks · 1962
The limited amount of information contained in a set of meteorological predictors precludes any precise statement concerning which one of a number of possible future events will occur. For purposes of operational decision making the probability distribution over the possible events for given values of the predictors is required. The mathematical exposition of a technique for obtaining this distribution is presented. An objective procedure is proposed for excluding from the analysis any redundant or nonsignificant information. Two numerical examples are provided which illustrate the application of the technique where the predictors are selected using the proposed procedure. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.