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Analytical synthesis of physically implementable controllers for multivariable objects using the embedding techniqueIt is shown that the problem of synthesis of control systems (with a reference model) for a
Parsimonious models of multivariate binary time series: statistical estimation and forecastingThis paper is devoted to parsimonious models of multivariate binary time series. Consistent
Estimation of ruin probability for multivariate collective risk modelEstimation of ruin probability of insurance company for multivariate collective risk model
Multiple regression as a method of construction of isolines of animal response to a joint effect of two factors (using the vocal activity of the steppe marmot as an example).biological model
Многомерные вероятностные модели с зависимыми компонентами is considered. It is a basis of multivariate collective risk model with dependent components of claim arrival
Descriptive model of temporal features of multivariate time series based on granulation structure and binding to time points, which allows us to consider them in the form of numerical multivariate
Analytical synthesis of physically implementable controllers for multivariable objects using the embedding techniqueIt is shown that the problem of synthesis of control systems (with a reference model) for a
Multivariate Analysis and Modeling of Sources and Financing Structure of Innovative Enterprises in The Russian Regions the tools, models and findings of multivariate analysis and modeling of the influence of sources
Descriptive model of temporal features of multivariate time series based on granulation structure and binding to time points, which allows us to consider them in the form of numerical multivariate
The method of multivariate forecasting of economic processes based on a modified learning genetic algorithmClassical linear and nonlinear regression models used for forecasting multivariate time series
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