On two flexible methods of 2-dimensional regression analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00387176" target="_blank" >RIV/67985556:_____/12:00387176 - isvavai.cz</a>

Alternative codes found

RIV/46747885:24510/12:#0000711

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

On two flexible methods of 2-dimensional regression analysis

Original language description

The problem of non-parametric statistical modeling of 2-dimensional surfaces from observed data is studied. In general, the model is constructed from a set of basal functions, which means to estimate a number of parameters. We present two approaches allowing reduction of needed parameters, a well known method of projection pursuit and the less known method of Gordon surface. Further, we analyze consequences of sparse data to precision of model and uncertainty of prediction.

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/GAP209%2F10%2F2045" target="_blank" >GAP209/10/2045: Homogeneous and non-homogeneous Poisson process models for extremes in climate change studies</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2012

Confidentiality

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

Name of the periodical

ACC JOURNAL

ISSN

1803-9782

e-ISSN

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Volume of the periodical

18

Issue of the periodical within the volume

4

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

11

Pages from-to

154-164

UT code for WoS article

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EID of the result in the Scopus database

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