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    3. Kernel Smoothing in Matlab:Theory and Practice of Kernel Smoothing

    Kernel Smoothing in Matlab:Theory and Practice of Kernel Smoothing

    Posted By: hill0
    Date: 13 Oct 2019 18:59:35
    Kernel Smoothing in Matlab:Theory and Practice of Kernel Smoothing

    Kernel Smoothing in Matlab:Theory and Practice of Kernel Smoothing
    by Horova Ivanka
    English | 2012 | ISBN: 9814405485 | 237 Pages | PDF | 4.38 MB

    Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides a concise and comprehensive overview of statistical theory and in addition, emphasis is given to the implementation of presented methods in Matlab. All created programs are included in a special toolbox which is an integral part of the book. This toolbox contains many Matlab scripts useful for kernel smoothing of density, cumulative distribution function, regression function, hazard function, indices of quality and bivariate density. Specifically, methods for choosing a choice of the optimal bandwidth and a special procedure for simultaneous choice of the bandwidth, the kernel and its order are implemented. The toolbox is divided into six parts according to the chapters of the book.

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