Kernel Smoothing in Matlab - Theory and Practice of Kernel Smoothing - Hardback - 2012
Ivanka Horova, Jan Kolacek, Jiri Zelinka
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País de expedição : Reino Unido
Comentários do vendedor
Livro novo; R�pido do Reino Unido; N�o ficar� desapontado - New book; Fast from the UK; Will not be disappointed
Resumo
Offers a comprehensive overview of statistical theory and emphases the implementation of presented methods in Matlab. This title contains various Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard function, indices of quality and bivariate density.
Year of publication: 2012
Pagination: 250 pages, black white illustrations
Format: Hardback
Year of publication: 2012
Pagination: 250 pages, black white illustrations
Format: Hardback
Kernel Smoothing in Matlab - Theory and Practice of Kernel...
Resumo
Offers a comprehensive overview of statistical theory and emphases the implementation of presented methods in Matlab. This title contains various Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard function, indices of quality and bivariate density.
Year of publication: 2012
Pagination: 250 pages, black white illustrations
Format: Hardback
Year of publication: 2012
Pagination: 250 pages, black white illustrations
Format: Hardback
Publicidade
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Características
- Editora
-
World Scientific Publishing Co Pte Ltd
- Dimensão
-
236 x 152 x 20
- Peso
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544
- Tema
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Probability & statistics
- Origem
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Singapore
- EAN
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9789814405485
Publicidade
Publicidade