Examples of using Prediction models in English and their translations into Russian
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Rapidly develop robust prediction models with powerful chemometrics software.
The necessity to consider the influence of lag variables in developing prediction models of crop yield is shown.
All the prediction models require global observational data for their daily initialization.
One is based on betting models andthe other is based on statistical market prediction models.
Noise prediction models must be constructed in just days, and often from 2D drawings if CAD information is not available.
German meteorologists are developing a way to incorporate the influence of gravity waves in weather prediction models.
Employing Virtual Prediction Models makes it possible to change the values of the predictor variables at the time of carrying out the analysis.
Both types of observations are extensively assimilated in numerical weather prediction models to support short- to medium-range weather forecasts.
Studies, including prediction models, on the epidemiology and transmission of human and animal parasites had to incorporate analysis of climatic alterations in the short term as well as in the long term.
Thus, application of the normal law of probability for building prediction models of complications is quite permissible in the early postoperative period.
The stage-by-stage estimation of productivity under agrometeorological characteristics of years-analogues provides drawing up of forecasts prior to the beginning of vegetation, andalso during the vegetative period on a basis prediction models.
MSC-East will test GEM and PUM meteorological weather prediction models, while MSC-West will test the ECMWF IFS and WRF meteorological weather prediction models;
The operation and maintenance of this network andthe timely transmission of the observational data by means of the Global Telecommunications System are essential in providing meteorological data for global weather analysis and prediction models and research.
More sophisticated predictive analytics software use churn prediction models that predict customer churn by assessing their propensity of risk to churn.
It was stated that information derived from satellite remote sensing, aerial photography and space shuttle sensors could be used to estimate food andfibre production, and develop survey sampling frames and prediction models.
By deploying new technologies such churn prediction models coupled with effective retention programs, customer attrition could be better managed to stem the significant revenue loss from defecting customers.
With the emergence of an agricultural information revolution, information derived from satellite remote sensing and aerial photography had made it possible for farmers and agribusiness companies to estimate food andfibre production and to develop survey sampling frames and prediction models.
Even if one is not an expert in statistical prediction models, one can try fundamental analysis model, which takes into account the overall economic scenario to predict the future movements of the market.
Most conflict and genocide prediction models, when applied, seem to identify roughly similar lists of situations most at risk or with a potential risk of massive violence based on national, ethnic, racial or religious grounds.
The data generated by the survey sampling frames and prediction models could be used in agricultural surveys as a way of accurately predicting crop yields, estimating and mapping crop damage, monitoring conservation practices and implementing precision farming practices.
As a result we can obtain the prediction model in the following form.
Now Indonesia is looking very seriously into developing a climate prediction model for the entire area of the country.
Canada is also exploiting near-real-time data from the Soil Moisture and Ocean Salinity(SMOS)mission to improve its numerical weather prediction model.
Canada is also exploiting near-real-time data from the Soil Moisture andOcean Salinity mission to improve its numerical weather prediction model.
When established, the desert movement prediction centre would provide prediction, modelling and recommendation services to countries affected by desertification.
To a certain extent of accuracy, a prediction model of the weather and climate of Indonesia has been developed.
TMPM model(Trauma Mortality Prediction Model) is based on empiric evaluation of five most severe injuries calculated by the method of regression modeling using AIS or ICD-9 terminology 29.
In this case, the prediction model of the system status could be written in the following form.
Prediction model allows evaluating the current state of the system, making prediction for future, defining necessary correcting impacts for Decision Model and testing them.
An SEA noise prediction model is created from vessel layout prints using automated procedures that convert 2D drawings, coupled with hull profiles, into 3D predictive noise models. .