Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations pdf download
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Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Adelchi Azzalini, Adrian W Bowman
Applied.Smoothing.Techniques.for.Data.Analysis.The.Kernel.Approach.with.S.Plus.Illustrations.pdf
ISBN: 0198523963,9780198523963 | 208 pages | 6 Mb
Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations Adelchi Azzalini, Adrian W Bowman
Publisher: Oxford University Press, USA
Book Review¶“Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations” by Adrian W. Kernel Approach with S-Plus Illustrations. (1997) Applied Smoothing Techniques for Data Analysis: The. The Kernel Approach with S-Plus Illustrations. For data analysis: the kernel approach with S-Plus illustrations. Trees1 and trees2 were originally data frames containing information on all trees in two 50m The classic reference to kernel smoothing is Silverman (1986). Applied Smoothing Techniques for Data Analysis. Azzalini, Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Bowman & Azzalini methods of Loader (1999) are implemented in package locfit. Название: Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations Авторы: Bowman A.W., Azzalini A.
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