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Variable Selection

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

Abstract

Frequently we start out with a fairly long list of independent variables that we suspect have some effect on the dependent variable, but for various reasons we would like to cull the list. One important reason is the resultant parsimony: It is easier to work with simpler models. Another is that reducing the number of variables often reduces multicollinearity. Still another reason is that it lowers the ratio of the number of variables to the number of observations, which is beneficial in many ways.

Keywords

Variable Selection House Price Stepwise Procedure Variable Selection Procedure Murder Rate 
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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