On two flexible methods of 2-dimensional regression analysis

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SYSNO ASEP	0387176
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Ostatní články
Title	On two flexible methods of 2-dimensional regression analysis
Author(s)	Volf, Petr (UTIA-B)_{RID, ORCID}
Number of authors	1
Source Title	ACC JOURNAL. - : MDPI - ISSN 1803-9782 Roč. 18, č. 4 (2012), s. 154-164
Number of pages	11 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	regression analysis ; Gordon surface ; prediction error ; projection pursuit
Subject RIV	BB - Applied Statistics, Operational Research
Institutional support	UTIA-B - RVO:67985556
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2013

Number of the records: 1