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ANALYSIS OF THE DYNAMICS OF THE RUBLE EXCHANGE RATE AND CREATING A MODEL
Mironov R.Y., Trushkov E.A.
. Models of multiple regression of the dynamics of the quarterly nominal ruble exchange rate were
UK FINANCIAL DERIVATIVES MARKET
Trushkov E.A.
. Models of multiple regression of the dynamics of the quarterly nominal ruble exchange rate were
Forecasting energy consumption using machine learning: a case study of Kyrgyzstan using socioeconomic data
Saipidinov, Zh., Isaev, R., Gimaletdinova, G.
capita, population, and GDP influence energy demand. Employing a regression model, we evaluate
The regular immune function regression of mammalian females and their interaction in urban habitat
Malikovich A., Nafisovich M., Nizamutdinovich S.
system, there is multiple, rather constant, immune quality functions regression (algorithm), which
Linear multiplicative functionals of algebras of S-analytic functions on groups
Grigoryan S., Tonev T.
extendability of linear multiplicative functionals of the algebra AS of S-analytic functions on G with spectra
Forecasting the enterprise tax base through regression of one-dimensional time series
Kadochnikova E., Erina T., Margushova A.
and regression models with dummy variables to account for additive and multiplicative seasonality. On a sample
Near infrared spectroscopy techniques for soil contamination assessment in the Nile Delta
Mohamed E.S., Ali A.M., Savin I.Y., El Shirbeny M.A., Abd El Razek A.A.
of three heavy metals (Cr, Mn and Cu) were determined in the studied samples. Stepwise multiple linear
Using machine learning algorithms to develop a web application for predicting prices on the stock market
Spirina, Ye. A., Temirtas, D., Samoylova, I. A.
in the financial sector. The article discusses the possibility of using linear regression models when developing a
Multiple correlation-regression analysis of the impact of major factors on oil production
Gabdrakhmanova K., Izmailova G., Samigullina L., Majidov M.
This article discusses the multiple regression analysis techniques to determine the effectiveness
Towards a conversion factor for soil microbial phosphorus
Bilyera N., Blagodatskaya E., Yevdokimov I., Kuzyakov Y.
soil parameters in multiple regression – Kp = 0.76–0.007*Corg - 0.56*Ptot + 0.004*Clay – enables

Страница 6 из 1792

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