Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F12%3A00059278" target="_blank" >RIV/00216224:14310/12:00059278 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing

Popis výsledku v původním jazyce

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. The book provides a brief comprehensive overview of statisticaltheory and moreover, the emphasis is given to implementation of presented methods in Matlab. All created programs are included into 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. Especially, methods for 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 chapters of the book. All scripts are included in a user interface and it is easy to manipulate with this interface.

Název v anglickém jazyce

Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing

Popis výsledku anglicky

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. The book provides a brief comprehensive overview of statisticaltheory and moreover, the emphasis is given to implementation of presented methods in Matlab. All created programs are included into 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. Especially, methods for 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 chapters of the book. All scripts are included in a user interface and it is easy to manipulate with this interface.

Druh

B - Odborná kniha

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

<a href="/cs/project/LC06024" target="_blank" >LC06024: Centrum Jaroslava Hájka pro teoretickou a aplikovanou statistiku</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

9789814405485

Počet stran knihy

244

Název nakladatele

World Scientific Publishing Co. Pte. Ltd.

Místo vydání

Singapore

Kód UT WoS knihy

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