Примеры использования Regression model на Английском языке и их переводы на Русский язык
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Number of Regression Model Variables.
The negative binomial regression model.
The regression model gave changes in almost every case.
The occurrence of interactions between predictor variables in the regression model.
The regression model obtained was verified by plotting a ROC-curve.
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Key words: united state examination, regression model, academic achievement.
A regression model was applied in order to evaluate probability of the"successful" harvesting.
It builds an economic and mathematical regression model using principles of the complex-valued economy.
Econometric techniques estimate parameters of a production function using a regression model.
A five-factors regression model of capital structure has been built using the method of least squares.
The absence of the drift is confirmed by the lack of statistical significance of the constant in the regression model.
Olga presented the regression model of the house price, depending on its characteristics.
The other variables will be part of a classification or a regression model used to classify or to predict data.
Regression model in the environment of Gretl on the example of the market of used cars in Birobidzhan and Khabarovsk.
Keywords: internal marketing, staff,multi-factor regression model, economic-mathematical modeling.
Substituting(29) into(14) and adding the error terms kt,we obtain the following generalized linear hedonic regression model.
We consider linear regression model with continuous time and strongly dependent stationary Gaussian random noise.
If we take logarithms of both sides of(14), use(25) and add error terms kt,we obtain the following translog hedonic regression model.
Keywords: investment activity, regression model, the latest technological processes, knowledge-intensive production.
If we take logarithms of both sides of(14), use(27) and add error terms kt,we obtain the following semilog quadratic hedonic regression model.
Even in the simplest cross-sectional multilevel regression model there is often an issue with fixed and random effects.
Linear regression model, maximal residuals, weak convergence, Gaussian stationary noise, variance and the second spectral moment estimators, estimator consistency.
At the same time,as shown in the previous text, the regression model for GDP energy intensity resembles a downward sloping straight trend-line.
The reason why annual improvements in GDP emission intensity are not statistically real comes from the best fitting shape of the regression model.
Development environment in Eviews regression model of the product realization company for the production of rubber-metal products.
Accuracy and precision Bias of an estimator Gauss-Markov theorem Hyperparameter optimization Minimum-variance unbiased estimator Model selection Regression model validation Supervised learning Geman, Stuart; E. Bienenstock; R. Doursat 1992.
The data are estimated with a regression model using information on fertility, birth attendants, and HIV prevalence.
For linear regression model the conditions of weak convergence of normalized extreme residuals to double exponent curve are obtained which follows from the assumption of normality of random noise.
It's just'cause I've, you know, analyzed you using my very powerful regression model and there's an 87% likelihood that we are gonna sleep together, so.
The use of a regression model can detect the degree of influence of each type of agricultural production on the formation of gross agricultural production in the region.