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Nonadditive robust ordinal regression with nonadditivity index and multiple goal linear programming
Wu J.-Z., Beliakov G.
Nonadditive robust ordinal regression (NAROR) is a widely adopted approach to analyze and reveal
Forecasting the Mutual Trade Volume between the Republic of Belarus and China Based on Correlation and Regression Analysis
Vinnik, O. G., Hu Xiaoqi, Винник, О. Г., Ху Сяоци
and Regression Analysis
Interval forecast of financial indicators of a company value based on a regression on principal components
Yakupova N., Kadochnikova E., Zulfakarova L., Zapparova Z.
of the forecast of net profit based on regression on the main components in the conditions of collinearity
Modeling and management of power supply enterprises' cash flows
Pyatkina D.
on the generated polynomial models of multiple regression of cash flow for the power supply companies under study
The determinants of corporate capital structure: Evidence from Russian panel data
de la estructura del capital corporativo. Para lograr el objetivo, los autores utilizaron múltiples
Modeling and management of power supply enterprises' cash flows
Pyatkina D., Shcherbina T., Samusenkov V., Razinkina I., Sroka M.
on the generated polynomial models of multiple regression of cash flow for the power supply companies under study
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
Using Additive Robust Modeling and Fault Simulation for Laser Ranging Measurements
Andreev A., Nefedyev Y.
© 2020 IEEE. This paper is focusing on the application of the regression modeling for analyzing
Mathematical models application for mapping soils spatial distribution on the example of the farm from the North of Udmurt Republic of Russia
Dokuchaev P.M., Meshalkina J.L., Yaroslavtsev A.M.
that multiple logistic regression, support vector method, and random forest models application with spatial
Analysis of dynamic of tropospheric ozone and nitrogen dioxide in the highest region of the Quito city
Salazar C., Mullo F.
was evaluated using the Spearman's Rho coefficient. Multiple linear regression models were made for each

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