Abstract
In this chapter we build on the material of the previous chapter, extending the model-building and model-checking capabilities of the least squares linear regression model. Most of this material typically is not covered in an introductory statistics course. We will focus on the aspects of advanced regression modeling that are of direct relevance to the categorical data modeling methods discussed in succeeding chapters.
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© 2003 Springer Science+Business Media New York
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Simonoff, J.S. (2003). Gaussian-Based Model Building. In: Analyzing Categorical Data. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21727-7_3
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DOI: https://doi.org/10.1007/978-0-387-21727-7_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1837-6
Online ISBN: 978-0-387-21727-7
eBook Packages: Springer Book Archive