Kernel Smoothing
β M. P. Wand, M. C. Jones (auth.)
π Library
π
1995
π Springer US
π English
β¦ LIBER β¦
π
Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing
β Scribed by Ivanka Horova, Jan Kolacek, Jiri Zelinka
- Publisher
- World Scientific
- Year
- 2012
- Tongue
- English
- Leaves
- 237
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.All scripts are included in a user interface and it is easy to manipulate with this interface. Each chapter of the book contains a detailed help for the related part of the toolbox too. This book is intended for newcomers to the field of smoothing techniques and would also be appropriate for a wide audience: advanced graduate, PhD students and researchers from both the statistical science and interface disciplines.
β¦ Table of Contents
Contents......Page 9
9789814405492_0001......Page 14
9789814405492_0002......Page 27
9789814405492_0003......Page 66
9789814405492_0004......Page 87
9789814405492_0005......Page 121
9789814405492_0006......Page 147
9789814405492_0007......Page 189
9789814405492_bmatter......Page 217
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