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Description
  • The toolbox for the kernel estimation of the regression function in MATLAB (Kernel Regression Toolbox) was created. This toolbox contains many matlab scripts useful for kernel smoothing of regression function, especially several methods for choosing of optimal bandwidth and methods for choosing of optimal order of kernel for 4 types of kernel smoothers - Nadaraya-Watson, local-linear, Pristley-Chao and Gasser-Mueller. All scripts are included in an user interface. This toolbox is free and can be download at www.math.muni.cz/~kolacek. In the pack, there is a detailed help for the toolbox also.
  • The toolbox for the kernel estimation of the regression function in MATLAB (Kernel Regression Toolbox) was created. This toolbox contains many matlab scripts useful for kernel smoothing of regression function, especially several methods for choosing of optimal bandwidth and methods for choosing of optimal order of kernel for 4 types of kernel smoothers - Nadaraya-Watson, local-linear, Pristley-Chao and Gasser-Mueller. All scripts are included in an user interface. This toolbox is free and can be download at www.math.muni.cz/~kolacek. In the pack, there is a detailed help for the toolbox also. (en)
Title
  • Kernel Regression Toolbox for Matlab
  • Kernel Regression Toolbox for Matlab (en)
skos:prefLabel
  • Kernel Regression Toolbox for Matlab
  • Kernel Regression Toolbox for Matlab (en)
skos:notation
  • RIV/00216224:14310/09:00037942!RIV10-MSM-14310___
http://linked.open...avai/riv/aktivita
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  • P(LC06024)
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  • 321709
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  • RIV/00216224:14310/09:00037942
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  • KRT 1.0
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  • kernel smoothing; regression function; Matlab (en)
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  • [73481694B0E0]
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  • Matlab
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  • 6857118
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  • Koláček, Jan
http://linked.open...avai/riv/vlastnik
http://linked.open...itiJinymSubjektem
http://localhost/t...ganizacniJednotka
  • 14310
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