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Multiple Regression

  • Ashish Sen
  • Muni Srivastava
Chapter
Part of the Springer Texts in Statistics book series (STS)

Abstract

Formulae for multiple regression are much more compact in matrix notation. Therefore, we shall start off in the next section applying such notation first to simple regression, which we considered in Chapter 1, and then to multiple regression. Alter that. we shall derive formulae for least. squares estimates and present properties of these estimates. These properties will he derived under the Gauss-ldarkov conditions which were presented in Chapter 1 and are essentially restated in Section 2.5.

Keywords

Unbiased Estimator Consistent Estimator Matrix Notation Floor Area Gasoline Price 
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-Verlag New York Inc. 1990

Authors and Affiliations

  • Ashish Sen
    • 1
  • Muni Srivastava
    • 2
  1. 1.College of Architecture, Art, and Urban Planning School of Urban Planning and PolicyThe University of IllinoisChicagoUSA
  2. 2.Department of StatisticsUniversity of TorontoTorontoCanada

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