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Measurement of cognitive growth factors of regional economy based on panel data
Kadochnikova E., Ismigilov I.
, applied analysis. It is emphasized that there is the need for multivariate statistical methods
Measurement of cognitive growth factors of regional economy based on panel data
Kadochnikova E., Ismigilov I.
, applied analysis. It is emphasized that there is the need for multivariate statistical methods
Application of cluster and discriminant analyses to diagnose lithological heterogeneity of the parent material according to its particle-size distribution
Giniyatullin K., Valeeva A., Smirnova E.
to distinguish between alluvial and colluvial sediments have been calculated. Statistical assessment of particle
Asymptotic expansion of the coverage probability of James-stein estimators
Ahmed S., Saleh A., Volodin A., Volodin I.
, in Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, Univ
Selection of appropriate statistical methods for research results processing
Khusainova R., Shilova Z., Curteva O.
is to provide an algorithm that allows choosing a valid method of statistical data processing and development
Multivariable analysis of primary care physician adherence to guideline-recommended pharmacotherapy of stable coronary artery disease
Zyryanov S.K., Fitilev S.B., Vozzhaev A.V., Shkrebniova I.I.
-recommended pharmacotherapy of stable coronary artery disease. Material and methods. This pharmacoepidemiologic cross
Statistical analysis of the Russian automotive market
Khityaev E.A.
. The study used the methods of multivariate statistical analysis using the software package SPSS
Baranchick-type Estimators of a Multivariate Normal Mean Under the General Quadratic Loss Function
Hamdaoui, Abdenour, Benkhaled, Abdelkader, Terbeche, Mekki, Хамдауи, Абденур, Бенхалед, Абделькадер, Тербече, Мекки
The problem of estimating the mean of a multivariate normal distribution by different types
Symbolic-Numerical Algorithm for Generating Interpolation Multivariable Hermite Polynomials of High-Accuracy Finite Element Method
Gusev A.A., Gerdt V.P., Chuluunbaatar O., Chuluunbaatar G., Vinitsky S.I., Derbov V.L., Gozdz A.
Symbolic-Numerical Algorithm for Generating Interpolation Multivariable Hermite Polynomials of High
The method of multivariate forecasting of economic processes based on a modified learning genetic algorithm
Kutakhov V.P., Filippov P.G., Vanyurikhin G.I., Korneenko V.P.
Classical linear and nonlinear regression models used for forecasting multivariate time series

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