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Using adaptive regressions for analysis of server time parameters this goal, we used an approach of dynamic adaptive regression modeling (DARM-approach), represented
Piecewise Polynomial Models for Aggregation and Regression Analysis in Remote Sensing of the Earth Problems we propose a new probability density function
value linear regression model (Distributions
Forecasting the enterprise tax base through regression of one-dimensional time series and regression models with dummy variables to account for additive and multiplicative seasonality. On a sample
Statistics and econometrics from the point of view methodology mathematics technologies (EXCEL, Mathematica) are discussed. The example of 2 variants of linear (4-factor) multiple
Interval forecast of financial indicators of a company value based on a regression on principal components and investors. This proves the need for using econometric models to measure quantitative economic interrelations
UK FINANCIAL DERIVATIVES MARKET. Models of multiple regression of the dynamics of the quarterly nominal ruble exchange rate were
Mathematical models application for mapping soils spatial distribution on the example of the farm from the North of Udmurt Republic of Russia that multiple logistic regression, support vector method, and random forest models application with spatial
Using machine learning algorithms to develop a web application for predicting prices on the stock market in the financial sector. The article discusses the possibility of using linear regression models when developing a
Statistics and econometrics from the point of view methodology mathematics technologies (EXCEL, Mathematica) are discussed. The example of 2 variants of linear (4-factor) multiple
Statistical methods for estimating quartiles of scientific conferences of the study, the linear regression model confirmed the correctness of the quartiles exposed for 77
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