Asymptotics for generalized piecewise linear histograms.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F02%3A16020223" target="_blank" >RIV/67985556:_____/02:16020223 - 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

Asymptotics for generalized piecewise linear histograms.

Original language description

In a recent paper we have extended the concept of piecewise linear histogram (PLH) introduced by Beirlant, Berlinet and Gyorfi. The disadvantage of the PLH is that, in many models with probability closed to 1, it takes on negative values with probabilityclose to one. We have shown that for all models satisfying mild assumptions, the class of our generalized piecewise linear histograms (GPLH's) contains a bona fide density with probability tending to 1 as the sample size n increases to infinity.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

<a href="/en/project/GA102%2F99%2F1137" target="_blank" >GA102/99/1137: Estimation and optimization in telecommunication networks</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

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

Name of the periodical

Publications de l'Institut de Statistique de l'Universite de Paris

ISSN

0041-9184

e-ISSN

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Volume of the periodical

34

Issue of the periodical within the volume

3

Country of publishing house

FR - FRANCE

Number of pages

17

Pages from-to

3-19

UT code for WoS article

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EID of the result in the Scopus database

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