The Linear Regression Model

  • Calyampudi Radhakrishna Rao
  • Helge Toutenburg
Part of the Springer Series in Statistics book series (SSS)

Abstract

The main topic of this chapter is the linear regression model and its basic principle of estimation through least squares. We present the algebraic, geometric, and statistical aspects of the problem, each of which has an intuitive appeal.

Keywords

Ordinary Little Square Linear Regression Model Unbiased Estimator Principal Component Regression Ordinary Little Square Estimate 
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 New York 1995

Authors and Affiliations

  • Calyampudi Radhakrishna Rao
    • 1
  • Helge Toutenburg
    • 2
  1. 1.Department of StatisticsThe Pennsylvania State UniversityUniversity ParkUSA
  2. 2.Institut für StatistikUniversität MünchenMünchenGermany

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