Geodesic
Projection pursuit quadratic regression - the normal case
Applications of Mathematics, Tome 33 (1988) no. 3, pp. 204-212.

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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.
DOI : 10.21136/AM.1988.104303
Classification : 62H12, 62H25, 62J02
Keywords: Gaussian random vector; quadratic estimators; conditional mean value; quadratic regression; projection pursuit method 
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     author = {\v{S}tulajter, Franti\v{s}ek},
     title = {Projection pursuit quadratic regression - the normal case},
     journal = {Applications of Mathematics},
     pages = {204--212},
     publisher = {mathdoc},
     volume = {33},
     number = {3},
     year = {1988},
     doi = {10.21136/AM.1988.104303},
     mrnumber = {0944784},
     zbl = {0659.62062},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.21136/AM.1988.104303/}
}
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Štulajter, František. Projection pursuit quadratic regression - the normal case. Applications of Mathematics, Tome 33 (1988) no. 3, pp. 204-212. doi : 10.21136/AM.1988.104303. http://geodesic.mathdoc.fr/articles/10.21136/AM.1988.104303/

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