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November 1, 2004Statistical Science496 citationsOpen Access

Density Estimation

SSSimon J. Sheather

Key Points

  • The aim is to provide a practical guide on density estimation techniques using kernel methods.
  • Describes density estimation based on kernel methods.
  • References implementations in R, S-PLUS, and SAS.
  • Encourages practicing statisticians to apply these methods to their data.
  • Highlights the accessibility of these methods through software implementations.

Abstract

This paper provides a practical description of density estimation based on kernel methods. An important aim is to encourage practicing statisticians to apply these methods to data. As such, reference is made to implementations of these methods in R, S-PLUS and SAS.

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Cite This Study

Simon J. Sheather (2004) studied this question.

synapsesocial.com/papers/6a00c826e4618ba4162dbca2https://doi.org/10.1214/088342304000000297
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