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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/unesp/360639
Title: 
Kernel Density Estimation
Author(s): 
Hamrick, Jeff
Language: 
eng
Description: 
  • Histograms are a useful but limited way to estimate or visualize the true, underlying density of some observed data with an unknown distribution. Histograms are essentially discontinuous step functions. So, if you believe that observed data is generated by a continuous density-or even a differentiable density-then another histogram-like estimation procedure might be preferable
  • Componente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemática
Issue Date: 
  • 11-Sep-2008
  • 11-Sep-2008
  • 2008
  • 11-Sep-2008
  • 8-Sep-2008
Publisher: 
Wolfram
Keywords: 
  • Approximation Methods
  • Educação Superior::Ciências Exatas e da Terra::Matemática::Análise
Credits: 
This demonstration needs the "MathematicaPlayer.exe" to run. Found in http://objetoseducacionais2.mec.gov.br/handle/mec/4737
Source: 
http://objetoseducacionais2.mec.gov.br/handle/mec/5213
URI: 
http://acervodigital.unesp.br/handle/unesp/360639
Rights: 
Demonstration freeware using Mathematica Player
Type: 
outro
Appears in Collections:MEC - Objetos Educacionais (BIOE) - OE

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