Use this url to cite publication: https://hdl.handle.net/20.500.14172/1169
Statistical classification based on observations of random gaussian fields
Type of publication
Straipsnis Scopus duomenų bazėje / Article in Scopus database (S1b)
Type of document
type::text::journal::journal article::research article
Author(s)
Title
Statistical classification based on observations of random gaussian fields
Other Title
Statistinis klasifikavimas remiantis atsitiktinių Gauso laikų stebėjimais
Date Issued
| Date |
|---|
1999 |
Extent
p. 153-162
Is part of
Mathematical modelling and analysis : mokslo darbai. Vilnius : Technika, 1999, vol. 4.
Abstract (lt)
Nagrinejamas uždavinys apie objektu iš srites D C R 2 klasifikavima, remiantis atsitiktiniu Gauso lauku stebejimais. Pateikti asimptotiniai laukiamos paklaidos iverčiai. Atlikus skaitinio modeliavimo eksperimenta naujasis skleidinys lyginamas su kitais žinomais skleidimais.
Abstract (en)
The problem of classification of objects located in domain D ⊂ R2 based on observations of random Gaussian fields with a factorized covariance function is considered. The first-order asymptotic expansion for the expected error regret is presented. Obtained numerical results allow us to compare suggested expansion for some widely applicable models of spatial covariance function.
ISSN (of the container)
1392-6292
1648-3510
Scopus
2-s2.0-84887210459
eLABa
88416775
Coverage Spatial
Lietuva / Lithuania (LT)
Language
Anglų / English (en)
Bibliographic Details
9
CC License
Access Rights
Atviroji prieiga / Open Access
Owning collection