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Nonparametric Density Estimation

  • Wolfgang Härdle
  • Axel Werwatz
  • Marlene Müller
  • Stefan Sperlich
Part of the Springer Series in Statistics book series (SSS)

Abstract

Contrary to the treatment of the histogram in statistics textbooks we have shown that the histogram is more than just a convenient tool for giving a graphical representation of an empirical frequency distribution. It is a serious and widely used method for estimating an unknown pdf. Yet, the histogram has some shortcomings and hopefully this chapter will persuade you that the method of kernel density estimation is in many respects preferable to the histogram.

Keywords

Kernel Function Kernel Density Kernel Density Estimation Optimal Bandwidth Kernel Density 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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Wolfgang Härdle
    • 1
  • Axel Werwatz
    • 2
  • Marlene Müller
    • 3
  • Stefan Sperlich
    • 4
  1. 1.CASE — Center for Applied Statistics and Economics Wirtschaftswissenschaftliche FakultätHumboldt-Universität zu BerlinBerlinGermany
  2. 2.DIW BerlinBerlinGermany
  3. 3.Fraunhofer ITWMKaiserslauternGermany
  4. 4.Departamento de EconomíaUniversidad Carlos III de MadridGetafe (Madrid)Spain

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