User-Friendly, Comprehensive SAS® Statistical Applications: Classification Models
Durchgeführt von George Fernandez, Analytical Training Consultant, Education Division, SAS
In this course, you use six user-friendly, precompiled SAS macro applications to perform comprehensive canonical, parametric and nonparametric discriminant, and decision tree analyses. As part of these analyses, you prepare and explore data, select variables, and create diagnostic plots related to model specification and model assumption validation. This user-friendly approach integrates statistical and graphical analysis tools that are available in SAS/STAT and provides complete statistical solutions without writing SAS code or using a point-and-click approach. Step-by-step instructions show you how to use these SAS/STAT applications and how to interpret the results. After class, you can download the compiled SAS macro catalog to perform comprehensive analysis on your own projects.Lernen Sie, wie Sie / Learn how to
Zielgruppe / Who should attendProfessors, graduate students, research scientists, applied statisticians, and business analysts
Prior SAS software experience is not required to use the SAS applications that are presented in this course. Prior knowledge of ANOVA and regression is recommended.
In diesem Kurs wird mit folgenden Software Modulen gearbeitet: SAS Enterprise Guide, SAS Studio, SAS University Edition Software
Classification Models: A Gentle Introduction