Приклади вживання Statistical model Англійська мовою та їх переклад на Українською
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Empirical statistical model.
A statistical model must fit all the data points.
Suppose that we have a statistical model() with.
The optimal statistical model may be obsolete by the time it is completed.
Them with a more complex statistical model.
A statistical model is a special class of mathematical model. .
Suppose that we have a statistical model of some data.
The decision about the best option is based on the solid statistical model.
Even such weakened statistical model was bypassed only by two contestants:.
It can be regarded as a numerical characteristic of a population or a statistical model.
Figure 3.11: Predictive accuracy for statistical model trained with call records.
Statistical model of polymer like chains of ionic groups linked by double hydrogen bonds.
Figure 3.12: Comparison of predictive accuracy for statistical model trained with call records to simple baseline prediction.
Statistical model of quark-gluon bags with a continuous transition to the high temperature phase is developed.
Unnderfittinng happens when a machine learning algorithm or statistical model is unable to focus on the underlying insights of the data.
Indeed, minimizing AIC in a statistical model is effectively equivalent to maximizing entropy in a thermodynamic system;
In practical terms, this means a bioinformatician might design a clinical trial for a new drug orprogram a statistical model for population growth.
This arises when a statistical model or machine learning algorithm cannot capture the underlying trend of the data.
Therefore, to make estimates about this group,multilevel regression uses a statistical model to pool together estimates from people in very similar groups.
When underfitting occurs, a statistical model or machine learning algorithm fails in capturing the underlying trend of the data.
Relatedly, Sir David Coxhas said,"How translation from subject-matter problem to statistical model is done is often the most critical part of an analysis".
Underfitting occurs when a statistical model or machine learning algorithm cannot adequately capture the underlying structure of the data.
In the study Variance in the Prevalence of Lying, researchers created a statistical model for distinguishing prolific liars from the everyday or‘normal' liar.
By analyzing this data using a statistical model, the results indicate that the longer the participants practiced Falun Gong, the more health improvement they experienced.
Next, in the supervised learning step, Blumenstock built a statistical model to predict the survey response for each person based on their features.
The team used their new data and a statistical model to find out how many signals it would take a pair of synapses to get to that eight percent difference.
Finally, these ratings were combined using a statistical model that accounted for both individual rater effects and difficulty of sentence effects.
Finally, these ratings were combined using a statistical model that accounted for both individual-rater effects and difficulty-of-sentence effects.
Simple linear trend model: An extrapolative statistical model that asserts that earnings have a base level and grow at a constant amount each period.
Simple linear trend model: An extrapolative statistical model that asserts that earnings have a base level and grow at a constant amount each period.