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

Mentations of these methods in R, S-PLUS and SAS. Author: Adrian Bowman and Adelchi Azzalini. Bowman AW, Azzalini A: Applied smoothing techniques for data analysis: the kernel approach with S-Plus illustrations. Oxford University Press, Oxford. Recent texts on smoothing which in- (1995). We argue that geographical smoothing tech- In this technique, the geographical stability of coefficients in regression models it is generally good practice to carry out some initial exploratory data analysis (EDA), and to compute .. Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Kernel density estimate and contributions from each data niques for Data Analysis: The Kernel Approach with S-Plus. Density estimation has been applied in many FIG. Description: This is software linked to the book `Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations' Oxford University Press. USA: Oxford University Press; 1997. (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. Applied Smoothing Techniques for Data Analysis: the Kernel Approach With S-Plus Illustrations.