Statistical methods for estimating quartiles of scientific conferences of the study, the linear
regression model confirmed the correctness of the quartiles exposed for 77
The role of statistical methods in the estimation of management efficiency and
regression analysis. A
model is proposed, making it possible to adequately use systematic approaches
The hedonic model of the land for agricultural purposes market value specification of the
regression hedonic
model was not confirmed. The quality of the results was tested using
ANALYSIS OF THE EFFECTIVENESS OF BUDGET DEFICIT FINANCING METHODS IN CÔTE D’IVOIRE USING A CREDIT SCORING MODEL’Ivoire. This article aims to develop a credit scoring
model in order to analyse the efficiency of budget deficit
Research of methods for design of regression models of oil and gas refinery technological unitsResearch of methods for design of
regression models of oil and gas refinery technological units
COVID-19 highest incidence forecast in Russia based on regression modelThe authors suggest a simple
regression model of COVID-19 highest incidence prognosis in Russia
A Combined Effect of Polygenic Scores and Environmental Factors on Individual Differences in Depression LevelKazantseva, Anastasiya,
Davydova, Yuliya,
Enikeeva, Renata,
Mustafin, Rustam,
Malykh, Sergey,
Lobaskova, Marina,
Kanapin, Alexander,
Prokopenko, Inga,
Khusnutdinova, Elza to address the “missing heritability” problem. We designed
regression models, which included PGS using 27
Derivation of the Mathematical Model of the Surface Quality of the Structural Quartz Ceramic Shell of Revolution. The equation of surface roughness
regression has been derived. The response surfaces have been formed. The most
Improving the approaches to planning the electricity consumption in budget institutions is characterized by expressed seasonality, thus the
model is presented as a multiplicative trend-season
model Forecasting firm growth resumption post-stagnationBoost, alongside logistic
regression models. To address class imbalance, we incorporate oversampling techniques