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


Applied.Smoothing.Techniques.for.Data.Analysis.The.Kernel.Approach.with.S.Plus.Illustrations.pdf
ISBN: 0198523963,9780198523963 | 208 pages | 6 Mb


Download Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations



Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations Adelchi Azzalini, Adrian W Bowman
Publisher: Oxford University Press, USA




Applied smoothing techniques for data analysis: The kernel approach with S-Plus illustrations. USA: Oxford University Press; 1997. Oxford, UK: Oxford University Press. Bowman AW, Azzalini A: Applied smoothing techniques for data analysis: the kernel approach with S-Plus illustrations. Oxford University Press, Oxford. Bowman & Azzalini methods of Loader (1999) are implemented in package locfit. Applied smoothing techniques for data analysis: the kernel approach with S-PLUS illustrations. Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. (1997) Applied Smoothing Techniques 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). For data analysis: the kernel approach with S-Plus illustrations.

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