Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Adelchi Azzalini, Adrian W Bowman

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.pdf
ISBN: 0198523963,9780198523963 | 208 pages | 6 Mb


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
Publisher: Oxford University Press, USA




Applied Smoothing Techniques for Data Analysis: the. Applied Smoothing Techniques For Data Analysis: The Kernel Approach With S-Plus Illustrations, Oxford University Press. [16] provides a detailed discussion of the statistical methods, analyses using synthetic data, and a comparison with the kernel method of Kelsall and Diggle [14]. S-PLUS is a powerful environment for statistical and graphical analysis of data. (1997) Applied Smoothing Techniques for Data Analysis: The. Adelchi Azzalini, Adrian W Bowman. 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. EBay: Describes the use of smoothing techniques in statistics, with an emphasis on applications. Oxford University Press, Oxford. Kernel Approach with S-Plus Illustrations.

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