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Statements

Subject Item
n2:RIV%2F61989100%3A27510%2F10%3A10225341%21RIV11-GA0-27510___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
The aim of this paper is to propose a new approach to probability density function (PDF) estimation which is based on the fuzzy transform (F-transform) introduced by Perfilieva in [10]. Firstly, a smoothing filter based on the combination of the discrete direct and continuous inverse F-transform is introduced and some of the basic properties are investigated. Next, an alternative approach to PDF estimation based on the proposed smoothing filter is established and compared with the most used method of Parzen windows. Such an approach can be of a great value mainly when dealing with financial data, i. e. large samples of observations. The aim of this paper is to propose a new approach to probability density function (PDF) estimation which is based on the fuzzy transform (F-transform) introduced by Perfilieva in [10]. Firstly, a smoothing filter based on the combination of the discrete direct and continuous inverse F-transform is introduced and some of the basic properties are investigated. Next, an alternative approach to PDF estimation based on the proposed smoothing filter is established and compared with the most used method of Parzen windows. Such an approach can be of a great value mainly when dealing with financial data, i. e. large samples of observations.
dcterms:title
A probability density function estimation using F-transform A probability density function estimation using F-transform
skos:prefLabel
A probability density function estimation using F-transform A probability density function estimation using F-transform
skos:notation
RIV/61989100:27510/10:10225341!RIV11-GA0-27510___
n4:aktivita
n18:S n18:P
n4:aktivity
P(GA402/08/1237), S
n4:cisloPeriodika
3
n4:dodaniDat
n8:2011
n4:domaciTvurceVysledku
n17:1733362 n17:3252833
n4:druhVysledku
n7:J
n4:duvernostUdaju
n9:S
n4:entitaPredkladatele
n12:predkladatel
n4:idSjednocenehoVysledku
244880
n4:idVysledku
RIV/61989100:27510/10:10225341
n4:jazykVysledku
n16:eng
n4:klicovaSlova
fuzzy transform, probability density function estimation, smoothing filter, financial returns
n4:klicoveSlovo
n11:fuzzy%20transform n11:financial%20returns n11:probability%20density%20function%20estimation n11:smoothing%20filter
n4:kodStatuVydavatele
CZ - Česká republika
n4:kontrolniKodProRIV
[A14617AB64E8]
n4:nazevZdroje
KYBERNETIKA
n4:obor
n10:BB
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n14:GA402%2F08%2F1237
n4:rokUplatneniVysledku
n8:2010
n4:svazekPeriodika
46
n4:tvurceVysledku
Tichý, Tomáš Holčapek, Michal
n4:wos
000280425000010
s:issn
0023-5954
s:numberOfPages
12
n15:organizacniJednotka
27510