Примеры использования Regression model на Английском языке и их переводы на Русский язык
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The data are estimated with a regression model using information on fertility,
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.
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 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.
The absence of the drift is confirmed by the lack of statistical significance of the constant in the regression model.
The reason why annual improvements in GDP emission intensity are not statistically real comes from the best fitting shape of the regression model.
dependent variables in the regression model to improve the linearity.
The results of the previous period experiments with the Markov-modulated linear regression model were presented at the conference Applied Simulation and Modelling(ASM2018), which.
Emphasis is placed on using their knowledge to construct the regression model instead of relying solely on results of statistical tests.
These values would then have been used to create a regression model applicable to all claims.
data are adjusted using a regression model to allow for a degree of comparability across countries.
Global and regional estimates of maternal mortality are developed every five years, using a regression model.
Global and regional estimates of maternal mortality are developed every five years, using a regression model.
A regression model enables the amounts claimed by any one claimant for each item
Because a regression model based on more homogeneous data may provide more precise results,
Estimating a Cox regression model on the age at retirement: this is a model of
When the regression model has errors that have a normal distribution,
Organic carbon amounts will be monitored over large areas by extracting soil-derived spectra by linear spectral non-mixing classical limit and producing a regression model to combine spectrum measurements with field survey data.
In an attempt to answer this question, Yastrebov and Uvarov built a two-level regression model, describing students and their families as the first-level observation units and the schools that
Future research is proposed to revise the estimates and regression model presented in WG-EMM-14/55 and to validate the model by