2017Wiley StatsRef: Statistics Reference OnlineRequires access

Kernel Density Estimation

David W. Scott

Open publisher page 33 citations

Abstract

Abstract The probability density function is a fundamental concept in statistics. Density estimation is the reconstruction of the density function from a set of observed data. A well‐constructed density estimate can give valuable indication of such features as skewness and multimodality in the underlying density function.

About this research paper

What this paper is about

Abstract The probability density function is a fundamental concept in statistics. Density estimation is the reconstruction of the density function from a set of observed data. A well‐constructed density estimate can give valuable indication of such features as skewness and multimodality in the underlying density function.

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OpenAlex reports 33 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

Abstract The probability density function is a fundamental concept in statistics. Density estimation is the reconstruction of the density function from a set of observed data. A well‐constructed density estimate can give valuable indication of such features as skewness and multimodality in the underlying density function.

Key concepts: Multivariate kernel density estimation, Kernel density estimation, Density estimation, Probability density function, Skewness, Mathematics, Variable kernel density estimation, Statistics

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