MULTIVARIATE NONPARAMETRIC KERNEL ESTIMATION

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43958907" target="_blank" >RIV/49777513:23520/20:43958907 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
MULTIVARIATE NONPARAMETRIC KERNEL ESTIMATION
Original language description
This paper is focused on multivariate estimation of density and distribution function by nonparametric kernel approach. The main goal is to describe univariate and multivariate nonparametric kernel estimation using selected kernel functions and smoothing parameters including a real application. The influence of basic parameters on the resulting models and proposed optimization methods are also analysed for further models of use (e.g. in reliability theory).
Czech name
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Czech description
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Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
19th Conference on Applied Mathematics, APLIMAT 2020 - Proceedings
ISBN
978-80-227-4983-1
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
1049-1061
Publisher name
SPEKTRUM STU
Place of publication
Bratislava
Event location
Bratislava, Slovensko
Event date
Feb 4, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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