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Репозиторий БГУИР
Browsing by Author Mukha, V. S.
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Showing results 1 to 20 of 41
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Issue Date
Title
Author(s)
2020
Bayesian multidimensional-matrix polynomial empirical regression
Mukha, V. S.
2023
Block methods of multidimensional-matrix data analysis
Mukha, V. S.
2019
Dual control of multidimensional-matrix stochastic objects
Mukha, V. S.
;
Kako, N. F.
2022
Dual Control of the Extremal Multidimensional Regression Object
Mukha, V. S.
;
Kako, N. F.
2023
Dual Stabilization of the Multidimensional Regression Object at the Given Level
Mukha, V. S.
;
Kako, N. F.
2015
Experience in Statistical Forecasting of the Atmospheric Temperature
Mukha, V. S.
2020
Flat problem of allowance distribution as dual control problem
Mukha, V. S.
;
Kako, N. F.
2019
Integrals and integral transformations connected with vector Gaussian distribution
Mukha, V. S.
;
Kako, N. F.
2019
Integrals related to the multidimensional-matrix gaussian distribution
Mukha, V. S.
;
Kako, N. F.
2016
Minimum distance from point to linear variety in Euclidean space of the two-dimensional matrices
Mukha, V. S.
2021
Model-based opti mizati on of the regression objects
Mukha, V. S.
;
Kako, N. F.
;
Муха, В. С.
;
Како, Н. Ф.
2022
Multidimensional regression object at a given level
Mukha, V. S.
;
Kako, N. F.
2022
Multidimensional-matrix representation of tensor
Mukha, V. S.
2017
On Statistical Forecasting of the Atmospheric Temperature for Month
Mukha, V. S.
2020
On the Bayesian multidimensional-matrix polynomial empirical regression
Mukha, V. S.
;
Malikova, I. G.
2022
On the dual stabilization of the multidimensional regression object at a given level
Mukha, V. S.
;
Kako, N. F.
2018
On the statistical methods for the conclusion on the climate change
Mukha, V. S.
2023
Orthogonal Polynomials and Fourier Series for Functions of Vector Variable: Multidimensional-Matrix Approach
Mukha, V. S.
2021
The integrals and integral transformations connected with the joint vector Gaussian distribution
Mukha, V. S.
;
Kako, N. F.
2022
The integrals and integral transformations connected with the joint vector Gaussian distribution
Mukha, V. S.
;
Kako, N. F.