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Analysis of the employee commitment and supply chain integration effects on industrial enterprise

Kulikova L.I., Sungatullina L.B., Sabirova A.I.

based on the multiple regression model and evaluation of the optimal payment times based on a dynamic

Multilocus evaluation of genetic predictors of multiple sclerosis

Timasheva, Y, Nasibullin, TR, Tuktarova, IA, Erdman, VV, Galiullin, TR, Zaplakhova, OV, Bakhtiiarova, KZ

replication analysis of previously identified genome-wide signals for multiple sclerosis. Associations were

Econometric estimation of debt on legal entities loans

Bulatova E., Kadochnikova E., Khaliullina E.

to legal entities on the example of the russian economy, based on a multiple regression linear model

Methodological analysis of the composition of innovation management: competences and the impact of its elements on innovation performance

analysis was carried out through SPSS25 to verify the factor composition of different variables

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

The degree of participation indicator of sales of livestock products in the main social factors

Faizullina A., Grigoreva D.

: multiple regression, and ARIMA seasonal decomposition model. The Russian economic theory of consumption

Оценка влияния автотранспортной инфраструктуры на социально-экономические показатели Минской области

Ивуть, Р. Б., Попов, П. В., Лапковская, П. И., Емельянович, И. В.

Multiple regression analysis

Fuzzy regression analysis using trapezoidal fuzzy numbers

Ismagilov I.I., Alsaied G.

© 2020 KIIE As a widely used method, regression analysis plays an increasingly important role

Institutional environment and value of companies

Ankudinov A., Lebedev O.

' value and well-being of countries as a whole. Regression models of value multiples with inclusion

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

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