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Regression Models

  • Wolfgang Karl HärdleEmail author
  • Ostap Okhrin
  • Yarema Okhrin
Chapter
Part of the Statistics and Computing book series (SCO)

Abstract

Regression models are extremely important in describing relationships between variables. Linear regression is a simple, but powerful tool in investigating linear dependencies. It relies, however, on strict distributional assumptions. Nonparametric regression models are widely used, because fewer assumptions about the data at hand are necessary.

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Wolfgang Karl Härdle
    • 1
    Email author
  • Ostap Okhrin
    • 2
  • Yarema Okhrin
    • 3
  1. 1.CASE – Center for Applied Statistics and Economics, School of Business and EconomicsHumboldt-Universität zu BerlinBerlinGermany
  2. 2.Econometrics and Statistics, esp. in Transportation, Institut für Wirtschaft und Verkehr, Fakultät Verkehrswissenschaften “Friedrich List”Technische Universität DresdenDresdenGermany
  3. 3.Chair of Statistics, Faculty of Business and EconomicsUniversity of AugsburgAugsburgGermany

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