Projection pursuit quadratic regression - the normal case
Aplikace matematiky (1988)
- Volume: 33, Issue: 3, page 204-212
- ISSN: 0862-7940
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topŠtulajter, František. "Projection pursuit quadratic regression - the normal case." Aplikace matematiky 33.3 (1988): 204-212. <http://eudml.org/doc/15538>.
@article{Štulajter1988,
abstract = {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.},
author = {Štulajter, František},
journal = {Aplikace matematiky},
keywords = {Gaussian random vector; quadratic estimators; conditional mean value; quadratic regression; projection pursuit method; Gaussian random vector; quadratic estimators; conditional mean value; quadratic regression; projection pursuit method},
language = {eng},
number = {3},
pages = {204-212},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {Projection pursuit quadratic regression - the normal case},
url = {http://eudml.org/doc/15538},
volume = {33},
year = {1988},
}
TY - JOUR
AU - Štulajter, František
TI - Projection pursuit quadratic regression - the normal case
JO - Aplikace matematiky
PY - 1988
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 33
IS - 3
SP - 204
EP - 212
AB - 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.
LA - eng
KW - Gaussian random vector; quadratic estimators; conditional mean value; quadratic regression; projection pursuit method; Gaussian random vector; quadratic estimators; conditional mean value; quadratic regression; projection pursuit method
UR - http://eudml.org/doc/15538
ER -
References
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- J. Rozanov, Gaussian random processes, (Russian). Nauka, Moskva 1970. (1970) MR0544843
- F. Štulajter, RKHS approach to nonlinear estimation of random variables, Trans. VIII-th Prague Conf. Volume B (1978), 239-246. (1978) MR0536821
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