Examples of using Statistical model in English and their translations into Greek
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Colloquial
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
Figure 3.15: Comparison of predictive accuracy for a statistical model trained with call records to simple baseline prediction.
in each case, an own statistical model is created.
In statistics, maximum-likelihood estimation is a method of estimating the parameters of a statistical model.
is a method of estimating the parameters of a statistical model.
Second, they can use a more sophisticated statistical model for making estimates within groups.
is a method of estimating the parameters of a statistical model given data.
Figure 3.12: Comparison of predictive accuracy for statistical model trained with call records to simple baseline prediction.
The dashed lines show the linear regression statistical model applied to the data- this indicates the average expected efficacy at different ages.
GOLDENBET's statistical model has been tested in a huge number of football games,
The results indicate that this model can achieve greater forecasting accuracy than the traditional statistical model.
In general, for a fixed set of data and underlying statistical model, the method of maximum likelihood selects the set of values of the model parameters that maximizes the likelihood function.
including statistical model development, natural language processing,
Prerequisite of the successful solution is definition of the statistical model of the transmission channel with variable parameters
So four Fed staff economists have come to the rescue with a new“labor markets conditions index” that uses a statistical model to summarize monthly changes in 19 labor-market into a single handy gauge.
GOLDENBET' s statistical model has the particularity of highlighting the dangers hiding in several games that are marked No Bet and Risky on the one hand,
Using a new statistical model to interpret data collected via mobile devices,
this kind of opt-in sample-even from a sampling frame with enormous coverage error-need not be catastrophic if the researcher has good auxiliary information and a good statistical model to account for these problems.
maximizing a likelihood function, so that under the assumed statistical model the observed data is most probable.
in this connection, in transposing that statistical model to the situation in other Member States, partly owing to a differing time-shift option,
Information on EU initiatives involving the use of statistical models in drug-related research.