Kernel Density Gradient Estimate
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F11%3A00052567" target="_blank" >RIV/00216224:14310/11:00052567 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/11:00447664
Result on the web
<a href="http://www.springer.com/statistics/book/978-3-7908-2735-4" target="_blank" >http://www.springer.com/statistics/book/978-3-7908-2735-4</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Kernel Density Gradient Estimate
Original language description
The aim of this contribution is to develop a method for a bandwidth matrix choice for kernel estimate of the first partial derivatives of the unknown density.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LC06024" target="_blank" >LC06024: Jaroslav Hájek Center for Theoretical and Applied Statistics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Advances in Functional Data Analysis and Related Topics
ISBN
978-3-7908-2735-4
ISSN
1431-1968
e-ISSN
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Number of pages
6
Pages from-to
177-182
Publisher name
Physica Verlag
Place of publication
Heidelberg
Event location
Santander
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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