Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations ebook
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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
ISBN: 0198523963, 9780198523963
Page: 208
Format: djvu
Publisher: Oxford University Press, USA
Download without Limit 99991 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. Azzalini (1997) Applied Smoothing Techniques for. Data Analysis: The Kernel Approach with S-Plus Illustrations. This method works well if the data 15274 no trend or cyclicpattern? �Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-PLUS Illustrations.” Oxford: Oxford University Press, 1997. Applied Smoothing Techniques for Data Analysis The Kernel .There is a rich choice of examples, exercises, hints for further reading and S-Plus illustrations. The application of these methods is discussed in terms of the S computing Applied Smoothing Techniques for Data Analysis : The Kernel Approach with S .. " Real data are used throughout to illustrate the techniques. The basic principle is that local averaging or smoothing is performed with respect to a kernel function.