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1997 | OriginalPaper | Chapter

Statistical Modeling

Authors : Andreas Krause, Melvin Olson

Published in: The Basics of S and S-Plus

Publisher: Springer New York

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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.

Metadata
Title
Statistical Modeling
Authors
Andreas Krause
Melvin Olson
Copyright Year
1997
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4757-2751-7_7