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


(1997) Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Bowman, A.W., Azzalini, A.: Applied smoothing techniques for data anal- ysis: the Kernel approach with S-Plus illustrations. (1997) Applied Smoothing Techniques for Data Analysis: The. Oxford University Press, Oxford. Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. Oxford, UK: Oxford University Press. Bowman AW, Azzalini A (1997) Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. 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: Oxford University Press. Existing kernels for compositional data cannot apply the common sim- plifications of the the behaviour of the proposed approach is illustrated. Approach with S-Plus Illustrations. 1997, English, Book, Illustrated edition: Applied smoothing techniques for data analysis : the kernel approach with S-Plus illustrations / Adrian W. This page gives access to S-Plus software related to the book. Applied Smoothing Techniques for Data Analysis: the Kernel. Kernel Approach with S-Plus Illustrations. Applied Smoothing Techniques for Data Anal- ysis: The Kernel Approach with S-Plus Illustrations, vol .

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