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Nonparametric Regression

  • Jeffrey S. Simonoff
Part of the Springer Series in Statistics book series (SSS)

Abstract

The most widely used general statistical procedure is (linear) regression. Regression models are powerful tools for modeling a target variable y as a function of a set of predictors x, allowing prediction for future values of y and the construction of tests and interval estimates for predictions and parameters.

Keywords

Nonparametric Regression Kernel Estimator Smoothing Spline Local Polynomial Regression Bandwidth Selector 
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. 1996

Authors and Affiliations

  • Jeffrey S. Simonoff
    • 1
  1. 1.Department of Statistics and Operations Research, Leonard N. Stern School of BusinessNew York UniversityNew YorkUSA

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