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Kernel smoothing in MATLAB = theory ...

Horová, Ivanka.

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Kernel smoothing in MATLAB = theory and practice of Kernel smoothing /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Kernel smoothing in MATLAB/ edited by Ivanka Horová, Jan Koláček, Jiří Zelinka.
其他題名:	theory and practice of Kernel smoothing /
其他作者:	Horová, Ivanka.
出版者:	Singapore :World Scientific, : 2012.,
面頁冊數:	1 online resource
標題:	Smoothing (Statistics) -
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/8468#t=toc
ISBN:	9789814405492 (electronic bk.)

Kernel smoothing in MATLAB = theory and practice of Kernel smoothing /
Kernel smoothing in MATLABtheory and practice of Kernel smoothing /[electronic resource] :edited by Ivanka Horová, Jan Koláček, Jiří Zelinka. - Singapore :World Scientific,2012. - 1 online resource

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.

ISBN: 9789814405492 (electronic bk.)Subjects--Topical Terms:

647147
Smoothing (Statistics)
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA278 / .K427 2012eb

Dewey Class. No.: 519.5

Kernel smoothing in MATLAB = theory and practice of Kernel smoothing /
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300 $a 1 online resource
520 $a 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.
650 0 $a Smoothing (Statistics) $3 647147
650 0 $a Kernel functions. $3 562986
655 0 $a Electronic books. $2 lcsh $3 542853
700 1 $a Horová, Ivanka. $3 2016425
700 1 $a Koláček, Jan. $3 2016426
700 1 $a Zelinka, Jiří. $3 2016427
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