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An approach to the understanding of sustainable tourism through a linear regression of sustainable tourism quantitatively through a linear regression
Non-asymptotic confidence estimation of the parameters in stochastic regression models with Gaussian noisesThe article considers the problem of estimating linear parameters in stochastic regression models
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
Minimum distance from point to linear variety in Euclidean space of the two-dimensional matricesThis work relates to the problem of linear approximation of multidimensional statistical data
The impact of the COVID-19 pandemic on cross-border mergers and acquisitions’ determinants: New empirical evidence from quasi-poisson and negative binomial regression models-sectional datasets by employing quasi-Poisson and negative binomial regression models. According to the empirical
Econometric modelling of indicators of innovation activity level of the innovative process. This article presents the econometric analysis. The model of multiple regression
GEOCHEMICAL MULTIPLE REGRESSION MODEL FOR LAKE CONDUCTIVITY RECONSTRUCTIONGEOCHEMICAL MULTIPLE REGRESSION MODEL FOR LAKE CONDUCTIVITY RECONSTRUCTION
Machine learning in medical diagnostics tasks in Pakistan for thirteen variables, 4 models were built: logit, probit, naive bayes classifier and random
Линейное пропорциональное Прокрустово преобразование в распознавании рукописных букв преобразованиями.The linear proportional transformation of twodimensional matrices is developed
The degree of participation indicator of sales of livestock products in the main social factors: multiple regression, and ARIMA seasonal decomposition model. The Russian economic theory of consumption
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