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Title: Projection pursuit quadratic regression - the normal case (English)
Author: Štulajter, František
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 33
Issue: 3
Year: 1988
Pages: 204-212
Summary lang: English
Summary lang: Russian
Summary lang: Czech
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Category: math
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Summary: The model of quadratic regression is studied by means of the projection pursuit method. This method leads to a decomposition of the matrix of quadratic regression, which can be used for an estimation of this matrix from the data observed. (English)
Keyword: Gaussian random vector
Keyword: quadratic estimators
Keyword: conditional mean value
Keyword: quadratic regression
Keyword: projection pursuit method
MSC: 62H12
MSC: 62H25
MSC: 62J02
idZBL: Zbl 0659.62062
idMR: MR0944784
DOI: 10.21136/AM.1988.104303
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Date available: 2008-05-20T18:34:39Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/104303
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Reference: [1] J. H. Friedman W. Stuetzle: Projection pursuit regression.J. Amer. Stat. Assoc. 76 (1981) 817-823. MR 0650892, 10.1080/01621459.1981.10477729
Reference: [2] P. J. Huber: Projection pursuit.Ann. Statist. 13 (1985), 435-475. Zbl 0595.62059, MR 0790553, 10.1214/aos/1176349519
Reference: [3] L. R. La Motte: Quadratic estimation of variance components.Biometrika 29 (1973), 311-330. MR 0329142
Reference: [4] C. R. Rao: Estimation of variance and covariance components - MINQUE theory.J. Mult. Analysis 1, 1971, 445-456. Zbl 0223.62086, MR 0301870, 10.1016/0047-259X(71)90019-4
Reference: [5] J. Rozanov: Gaussian random processes.(Russian). Nauka, Moskva 1970. MR 0544843
Reference: [6] F. Štulajter: RKHS approach to nonlinear estimation of random variables.Trans. VIII-th Prague Conf. Volume B (1978), 239-246. MR 0536821
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