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Towards sophisticated decision models: Nonadditive robust ordinal regression for preference modeling
Beliakov G., Wu J.-Z., Divakov D.
criteria. Nonadditive robust ordinal regression (NAROR) aims to build capacities that fit the decision
Basics of building and analyzing adaptively targeted forecast models for supply chain management
Davnis, V. V., Tinyakova, V. I., Karyagina, T. V., Frolov, I. S., Sivtsova, N. F.
the methodology for building adaptively targeted forecast models based on the recursive least squares method
Theoretical-methodological and economical-mathematical approaches to building model of non-observed economy
Vorontsova V., Fesina Y., Makhmutova D.
. Structural elements in economical-mathematical models of non-observed economy are regression equations
What Affects The Ability To Accumulate The Best Applicants By Russian Universities? The Application Of Quantile Regression Model
Земцов С.П., Баринова В.А., Лашкевич Э.
Of Quantile Regression Model
The Study of Dynamic Parameters of Corporate Graphic Stations Using Methods of Adaptive Regression Multi-Parameter Modeling
Andreev A., Nefedyev Y., Demina N.
for CGS. The aim of this paper is to analyze TD for CGS using the adaptive regression modeling and to find
Using robust regression methods for improve the accuracy of the estimating of observational models parameters
). Regression analysis (RA) is widely used in the prediction and assessment of model parameters. For many years
Selection of a Geostatistical Method to Interpolate Soil Properties of the State Crop Testing Fields using Attributes of a Digital Terrain Model
at a field scale—ordinary kriging (OK), regression kriging with multiple linear regression drift model
RESEARCH OF DEPENDENCE OF THE MAIN MACROECONOMIC INDICATORS BY MEANS OF THE CORRELATION AND REGRESSION ANALYSIS
Saribekyan M.A.
Using the correlation and regression analysis the research of relations between macroeconomic
The Use of Deterministic Mathematical Modeling for the Prediction of Dynamic Geophysical Processes
Nefedyev Y., Andreev A., Mubarakshina R., Demina N., Andreeva Z.
, an approach of dynamic regression modeling (DRM) was used. The simulation of the Earth's pole's polar
Using adaptive regressions for analysis of server time parameters
this goal, we used an approach of dynamic adaptive regression modeling (DARM-approach), represented

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