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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

Oxford University Press, Oxford. Kernel density estimate and contributions from each data niques for Data Analysis: The Kernel Approach with S-Plus. Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations (. Density estimation has been applied in many FIG. Applied Smoothing Techniques for Data Analysis: the Kernel Approach With S-Plus Illustrations, by A.W. Recent texts on smoothing which in- (1995). Bowman,Adelchi Azzalini, Oxford University Press. Bowman, A.W., Azzalini, A.: Applied smoothing techniques for data anal- ysis: the Kernel approach with S-Plus illustrations. Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations (Oxford Statistical Science Series). Applied Smoothing Techniques for Data Analysis: the Kernel Approach With S-Plus Illustrations. Mentations of these methods in R, S-PLUS and SAS. 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, 作者: A.W. Oxford: Oxford University Press. Bowman AW, Azzalini A (1997) Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Azzalini, Oxford University Press. Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Existing kernels for compositional data cannot apply the common sim- plifications of the the behaviour of the proposed approach is illustrated.