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Nonparametric regression

  • Douglas A. Schroeder
Chapter
Part of the Springer Series in Accounting Scholarship book series (KLAS, volume 5)

Abstract

Frequently in econometric analysis of accounting data, one is concerned with departures from standard parametric model probability assignments. Semi- and nonparametric methods provide an alternative means to characterize data and assess parametric model robustness or logical consistency. Here, we focus on regression. That is, we examine the conditional relation between Y and X.The most flexible fit of this conditional relation is nonparametric regression where flexible fit refers to the degree of distributional or structural form restrictions imposed on the data in estimating the relationship.

Keywords

Nonparametric Regression Kernel Estimator Conditional Relation Kernel Regression Generalize Cross Validation 
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, LLC 2010

Authors and Affiliations

  1. 1.The Ohio State UniversityColumbusUSA

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