Kernel Smoothing in MATLAB: Theory and Practice of Kernel
Smoothing

B 2012

Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing

HOROVÁ, Ivanka; Jan KOLÁČEK a Jiří ZELINKA

Základní údaje

Originální název

Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing

Autoři

HOROVÁ, Ivanka; Jan KOLÁČEK a Jiří ZELINKA

Vydání

Singapore, 244 s. 2012

Nakladatel

World Scientific Publishing Co. Pte. Ltd.

Další údaje

Jazyk

angličtina

Typ výsledku

Odborná kniha

Obor

10101 Pure mathematics

Stát vydavatele

Singapur

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/12:00059278

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-981-4405-48-5

Klíčová slova anglicky

kernel smoothing; Matlab

Štítky

AKR, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 6. 11. 2020 11:01, Mgr. Jiří Zelinka, Dr.

Anotace

V originále

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 statistical theory 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. Each chapter of the book contains a detailed help for the related part of the toolbox, too. The book is intended for newcomers to the field of smoothing techniques and would be also appropriate for a wide audience: students and researches from both the statistical science and interface disciplines.

Návaznosti

LC06024, projekt VaV

Název: Centrum Jaroslava Hájka pro teoretickou a aplikovanou statistiku

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum Jaroslava Hájka pro teoretickou a aplikovanou statistiku

Citovat

HOROVÁ, Ivanka; Jan KOLÁČEK a Jiří ZELINKA. Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing. Singapore: World Scientific Publishing Co. Pte. Ltd., 2012, 244 s. ISBN 978-981-4405-48-5.

@book{969460,
   author = {Horová, Ivanka and Koláček, Jan and Zelinka, Jiří},
   address = {Singapore},
   keywords = {kernel smoothing; Matlab},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Singapore},
   isbn = {978-981-4405-48-5},
   publisher = {World Scientific Publishing Co. Pte. Ltd.},
   title = {Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing},
   url = {http://www.worldscientific.com/worldscibooks/10.1142/8468#t=aboutBook},
   year = {2012}
}

TY  - BOOK
ID  - 969460
AU  - Horová, Ivanka - Koláček, Jan - Zelinka, Jiří
PY  - 2012
TI  - Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing
VL  - Neuveden
PB  - World Scientific Publishing Co. Pte. Ltd.
CY  - Singapore
SN  - 9789814405485
KW  - kernel smoothing
KW  - Matlab
UR  - http://www.worldscientific.com/worldscibooks/10.1142/8468#t=aboutBook
N2  - 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 statistical theory 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. Each chapter of the book contains a detailed help for the related part of the toolbox, too. The book is intended for newcomers to the field of smoothing techniques and would be also appropriate for a wide audience: students and researches from both the statistical science and interface disciplines.
ER  -

HOROVÁ, Ivanka; Jan KOLÁČEK a Jiří ZELINKA. \textit{Kernel Smoothing in MATLAB: Theory and Practice of Kernel Smoothing}. Singapore: World Scientific Publishing Co. Pte. Ltd., 2012, 244 s. ISBN~978-981-4405-48-5.

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