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Applied Smoothing Techniques for Data Analysis:
Applied Smoothing Techniques for Data Analysis:

Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations by Adelchi Azzalini, Adrian W Bowman

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



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 ebook
Page: 208
Publisher: Oxford University Press, USA
Format: djvu
ISBN: 0198523963, 9780198523963


Applied smoothing techniques for data analysis: the kernel approach with s-plus illustrations. The basic principle is that local averaging or smoothing is performed with respect to a kernel function. 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: The Kernel Approach with S-Plus Illustrations Oxford Statistical Science Series: Amazon.co.uk: Adrian W. €Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-PLUS Illustrations.” Oxford: Oxford University Press, 1997. [16] provides a detailed discussion of the statistical methods, analyses using synthetic data, and a comparison with the kernel method of Kelsall and Diggle [14]. Adrian Bowman and Adelchi Azzalini, 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. Bowman & Azzalini methods of Loader (1999) are implemented in package locfit. Oxford University Press, New York. We use cookies to enhance your experience on our website. Applied Smoothing Techniques for Data Analysis: The Kernel Approach With S-Plus Illustrations (Oxford Statistical Science Series) [ハードカバー]. For data analysis: the kernel approach with S-Plus illustrations.

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