It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Discriminant analysis is a statistical method by which we want to know what variables measured at objects or individuals best explain the difference allocating the groups to which belong said objects or individuals. This technique allows us to test the extent to which independent variables correctly classified research subjects or objects.
Are shown and explained the main elements relating to the procedure for conducting the discriminant analysis and its application using SPSS version 18 for statistical model development, the conditions for the application of analysis, estimation and interpretation of the discriminant functions, methods of classification and validation of results.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer