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Regression Analysis

  • Ronald Christensen
Chapter
Part of the Springer Texts in Statistics book series (STS)

Abstract

A regression model is any general linear model \( {Y}={X}\beta + {e}\) in which X’X is nonsingular. X’X is nonsingular if and only if the n × p matrix X has rank p. In regression models, the parameter vector β is estimable. Let P = (XX)-1X, the β = PX β.

Keywords

Model Matrix Orthogonal Polynomial Simple Linear Regression Generalize Additive Model Nonparametric Regression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Mathematics and Statistics MSC01 11151 University of New MexicoAlbuquerqueUSA

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