Geodesic
Criteria for the choice of structure of a~multiclique regression model
Sibirskij žurnal industrialʹnoj matematiki, Tome 7 (2004) no. 1, pp. 61-72.

Voir la notice de l'article provenant de la source Math-Net.Ru

@article{SJIM_2004_7_1_a6,
     author = {D. V. Lisitsin},
     title = {Criteria for the choice of structure of a~multiclique regression model},
     journal = {Sibirskij \v{z}urnal industrialʹnoj matematiki},
     pages = {61--72},
     publisher = {mathdoc},
     volume = {7},
     number = {1},
     year = {2004},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/SJIM_2004_7_1_a6/}
}
TY  - JOUR
AU  - D. V. Lisitsin
TI  - Criteria for the choice of structure of a~multiclique regression model
JO  - Sibirskij žurnal industrialʹnoj matematiki
PY  - 2004
SP  - 61
EP  - 72
VL  - 7
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/SJIM_2004_7_1_a6/
LA  - ru
ID  - SJIM_2004_7_1_a6
ER  - 
%0 Journal Article
%A D. V. Lisitsin
%T Criteria for the choice of structure of a~multiclique regression model
%J Sibirskij žurnal industrialʹnoj matematiki
%D 2004
%P 61-72
%V 7
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/SJIM_2004_7_1_a6/
%G ru
%F SJIM_2004_7_1_a6
D. V. Lisitsin. Criteria for the choice of structure of a~multiclique regression model. Sibirskij žurnal industrialʹnoj matematiki, Tome 7 (2004) no. 1, pp. 61-72. http://geodesic.mathdoc.fr/item/SJIM_2004_7_1_a6/

[1] Lisitsin D. V., Popov A. A., “Konstruirovanie kriteriev selektsii mnogomernykh regressionnykh modelei”, Sb. nauch. tr. NGTU, no. 1, Novosibirsk, 1996, 13–20

[2] Lisitsin D. V., Vybor struktury mnogomernoi lineinoi modeli pri postroenii zavisimostei po statisticheskim dannym, Dis. $\dots$ kand. tekhn. nauk, Novosibirsk, 1998

[3] Lisitsin D. V., “Obobschennaya zadacha vybora struktury mnogomernoi modeli”, Tr. 4 Mezhdunar. nauch.-tekhn. konf. “Aktualnye problemy elektronnogo priborostroeniya” APEP-98, t. 3, Novosibirsk, 1998, 69–72

[4] Rao S. R., Lineinye statisticheskie metody i ikh primeneniya, Nauka, M., 1968 | MR | Zbl

[5] Demidenko E. Z., Lineinaya i nelineinaya regressii, Finansy i statistika, M., 1981 | MR

[6] Fedorov V. V., “Otsenivanie parametrov regressii v sluchae vektor-nablyudeniya”, Regressionnye eksperimenty (planirovanie i analiz), Izd-vo MGU, M., 1977, 112–122

[7] Stepashko V. S., Kocherga Yu. L., “Metody i kriterii resheniya zadach strukturnoi identifikatsii”, Avtomatika, 1985, no. 5, 29–37 | Zbl

[8] Seber Dzh., Lineinyi regressionnyi analiz, Mir, M., 1980 | Zbl

[9] Mallows C. L., “Some comments on $C_p$”, Technometrics, 15 (1973), 661–675 | DOI | Zbl

[10] Siotani M., Hayakawa T., Fujikoshi Y., Modern multivariate statistical analysis: A graduate course and handbook, Amer. Sci. Press, Columbus, 1985 | MR | Zbl

[11] Rothman D., “Letter to editor”, Technometrics, 10 (1968), 432 | MR

[12] Savaragi E., Soeda T., Nakamizo T., ““Klassicheskie” metody i otsenivanie vremennykh ryadov”, Sovremennye metody identifikatsii, Mir, M., 1983, 74–147

[13] Romanov V. L., “Vybor nailuchshei lineinoi regressii: sravnenie formalnykh kriteriev (obobschayuschaya statya)”, Zavodskaya laboratoriya, 56:1 (1990), 90–95

[14] Vapnik V. N., Vosstanovlenie zavisimostei po empiricheskim dannym, Nauka, M., 1979 | MR | Zbl

[15] Allen D. M., “The relationship between variable selection and data augmentation and a method for prediction”, Technometrics, 16 (1974), 125–127 | DOI | MR | Zbl

[16] Shao J., “Linear model selection by cross-validation”, J. Amer. Statist. Assoc., 88 (1993), 486–494 | DOI | MR | Zbl

[17] Gantmakher F. R., Teoriya matrits, Nauka, M., 1988 | MR | Zbl

[18] Ivakhnenko A. G., Stepashko V. S., Pomekhoustoichivost modelirovaniya, Nauk. dumka, Kiev, 1985

[19] Popov A. A., “Kompozitsionnyi podkhod postroeniya adekvatnykh regressionnykh modelei v skhemakh aktivnogo eksperimenta”, Sb. nauch. tr. NGTU, no. 2(4), Novosibirsk, 1996, 29–38

[20] Aivazyan S. A., Mkhitaryan V. S., Prikladnaya statistika i osnovy ekonometriki, YuNITI, M., 1998