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activities > analysis > mathematical analysis > statistical methods > kernel density estimation

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Created: 2026-04-16T08:05:18

kernel density estimation  

Definition

  • Information A kernel density estimation is a non-parametric way of estimating the probability density function of a random variable. This function describes the relative likelihood for a variable to occur.

    Created: 4/16/26

     (en)
  • Information Uma estimativa de densidade kernel constitui uma forma não paramétrica de estimar a função densidade de probabilidade de uma variável aleatória. Essa função descreve a possibilidade de uma variável vir a ocorrer.

    Created: 4/16/26

     (pt)

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  • Information

    Created: 2026-04-16T08:38:42

    KDE (en)

Scope note

  • The non-parametric kernel density algorithm has been increasingly used in ecology to identify home ranges from tagging data and for identifying hotspots within a landscape using a neighbour-based approach. (en)

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http://aims.fao.org/aos/agrovoc/c_e02a2d95

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RDF/XML TURTLE JSON-LD Created 4/16/26, last modified 4/29/26