Mon premier blog

Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations Adelchi Azzalini, Adrian W Bowman
Publisher: Oxford University Press, USA

Recent texts on smoothing which in- (1995). New York: Oxford University Press; 1997. Density estimation has been applied in many FIG. 1997, English, Book, Illustrated edition: Applied smoothing techniques for data analysis : the kernel approach with S-Plus illustrations / Adrian W. The application of these methods is discussed in terms of the S computing Applied Smoothing Techniques for Data Analysis : The Kernel Approach with S .. Bowman AW, Azzalini A: Applied smoothing techniques for data analysis: The kernel approach with s-plus illustrations. [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]. 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: Amazon.ca: Adrian W. Azzalini, Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Cambridgeshire: Cambridge University Press; 1992. Bowman, Adelchi Azzalini: Books. Applied Smoothing Techniques for Data Analysis: the. Adrian Bowman and Adelchi Azzalini, Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Mentations of these methods in R, S-PLUS and SAS. Source: Computational Statistics and Data Analysis, Volume 42, Number 4, 28 April 2003 , pp. Kernel Approach with S-Plus Illustrations.