1997 | OriginalPaper | Chapter
Statistical Modeling
Authors : Andreas Krause, Melvin Olson
Published in: The Basics of S and S-Plus
Publisher: Springer New York
Included in: Professional Book Archive
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We have now learned some elementary statistical techniques in S-Plus and the basics of graphical data analysis. The next step is to see what S-Plus has to offer in terms of modeling. Statistical modeling is one of the strongest S-Plus features because of its unified approach, wide variety of model types, and excellent diagnostic capabilities. We start with an example of how to fit a simple linear regression model and corresponding diagnostics. The example is presented with a minimum of technical explanation, designed as a quick introduction. We then formally explain the unified approach to model syntax and structure, along with comments on several of the more popular types of statistical models.