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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 Adelchi Azzalini, Adrian W Bowman ebook
Publisher: Oxford University Press, USA
Format: djvu
Page: 208
ISBN: 0198523963, 9780198523963

The basic principle is that local averaging or smoothing is performed with respect to a kernel function. This page gives access to S-Plus software related to the book. Denison Applied Smoothing Techniques for Data Analysis—the Kernel Approach with S-Plus Illustrations. (1997) Applied Smoothing Techniques for Data Analysis: The. Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations Oxford Statistical Science Series: Amazon.co.uk: Adrian W. Kernel Approach with S-Plus Illustrations. Applied Smoothing Techniques for Data Analysis: The Kernel Approach With S-Plus Illustrations (Oxford Statistical Science Series) [ハードカバー]. Keyword: 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. Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford. Data Analysis: The Kernel Approach with S-Plus Illustrations. 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. EBay: Describes the use of smoothing techniques in statistics, with an emphasis on applications. Azzalini (1997) Applied Smoothing Techniques for.