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Nonparametric Additive Models and Semiparametric Partially Linear Models

  • Joel L. Horowitz
Chapter
Part of the Springer Series in Statistics book series (SSS)

This chapter discusses two types of models of conditional mean and quantile functions. The first is a nonparametric additive model. The second is a semiparametric partially linear model. In a nonparametric additive model, the mean or quantile of a random variable.

Keywords

Additive Component Nonparametric Regression Kernel Estimator Nonparametric Estimator Series Estimator 
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.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of EconomicsNorthwestern UniversityEvanstonUSA

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