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On two flexible methods of 2-dimensional regression analysis
- 1.0387176 - ÚTIA 2013 RIV CZ eng J - Journal Article
Volf, Petr
On two flexible methods of 2-dimensional regression analysis.
ACC JOURNAL. Roč. 18, č. 4 (2012), s. 154-164. ISSN 1803-9782
Grant - others:GA ČR(CZ) GAP209/10/2045
Institutional support: RVO:67985556
Keywords : regression analysis * Gordon surface * prediction error * projection pursuit
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2013/SI/volf-on two flexible methods of 2-dimensional regression analysis.pdf
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.
Permanent Link: http://hdl.handle.net/11104/0217949
Number of the records: 1