Geodesic
Orthogonal polynomials in regression observation models
Matematičeskoe modelirovanie, Tome 15 (2003) no. 11, pp. 45-50.

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We consider basic invariant characteristics of normed covariance matrix. Numerical modeling results of normed covariance matrix in regression models by orthogonal polynomials are discussed. We represent recommendations to control orthogonal polynomials. 
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B. M. Dorozhko. Orthogonal polynomials in regression observation models. Matematičeskoe modelirovanie, Tome 15 (2003) no. 11, pp. 45-50. http://geodesic.mathdoc.fr/item/MM_2003_15_11_a4/

[1] Nikiforov A. F., Suslov S. K., Uvarov V. V., Klassicheskie ortogonalnye polinomy diskretnoi peremennoi, Nauka, M., 1985 | MR

[2] Seber Dzh., Lineinyi regressionnyi analiz, ed. M. B. Malyutov, Mir, M., 1980 | Zbl

[3] M. Abramovich, I. Stigan (red.), Spravochnik po spetsialnym funktsiyam, Nauka, M., 1979 | MR

[4] Nikiforov A. F., Skachkov M. V., “Metody vychisleniya $Q$-polinomov”, Matem. modelirovanie, 13:8 (2001), 85–94 | MR | Zbl

[5] Voevodin V. V, Oshibki okrugleniya i ustoichivost v pryamykh metodakh lineinoi algebry, Izd-vo MGU, M., 1969

[6] Louson Ch., Khenson R., Chislennoe reshenie zadach metoda naimenshikh kvadratov, Nauka, M., 1986 | MR

[7] Afifi A., Eizen S., Statisticheskii analiz: Podkhod s ispolzovaniem EVM, Mir, M., 1982 | Zbl

[8] Potemkin V. G., Sistema MATLAB. Spravochnoe posobie, Dialog-MIFI, M., 1997