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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. Ysis: The Kernel Approach with S-Plus Illustrations, vol. (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. Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations: Amazon.ca: Adrian W. 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 Statistical Science Series). Tailed or multi-modal density functions with kernel methods, when a fixed (or global) bandwidth approach may result in undersmoothing in areas with only sparse observa- An adaptive kernel approach adapts to the sparseness of the data by using a broader .. Bowman, Adelchi Azzalini: Books. Adrian Bowman and Adelchi Azzalini, Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations.