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Course fee and EPTO/APTO units differ for on-site training.Robust Regression Techniques in SAS/STAT
Business Knowledge Series course (Live Web)
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Duration: 1
half-day session Please note the System Requirements below. Course fee: $300 EPTO units: 0.6 CEUs: 0.3 | ||
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Presented by Jill Tao, statistical services specialist in the Education Division of SAS Institute
This lecture is designed for analysts, statisticians, modelers, and other professionals who have experience and knowledge in regression analysis and who want to learn available procedures in SAS/STAT software for robust regression and nonparametric regression techniques.
Learn how to
- use PROC ROBUSTREG to fit a regression model less sensitive to outliers
- use PROC LOESS to fit a robust nonparametric regression model
- use PROC GLIMMIX to fit a radial smoother model.
Who should attend
Analysts, statisticians, and modelers
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Prerequisites
Before attending this course, you should be familiar with
- DATA step programming
- basic SAS procedures for producing summary statistics and graphs, such as the MEANS and GPLOT procedures. You can gain this experience by completing the SAS Programming I: Essentials course.
- basic knowledge and experience in linear regression models (PROC REG). You can gain this experience by completing the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.
Course Materials
Students attend Live Web classes using a Web browser and a telephone and interact with
their instructor and fellow classmates in real time. Each student receives an e-mail
with instructions on how to join the class three business days before the class begins.
The instructions e-mail includes a link to download the course materials.
Students need to download and print the course materials prior to class.
System Requirements
For Live Web, you must
- review and meet the general system requirements.
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