Examples of using Statistical models in English and their translations into Hebrew
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Colloquial
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Ecclesiastic
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Computer
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Programming
Computerizing statistical models.
Based on statistical models, it will trigger a 32% rise in violent attacks in the area.
Demonstrated ability to build statistical models.
They built statistical models for the rate of spread by imitation.
To complement the information coming from the cameras, Arnon uses complex statistical models designed to estimate how many individuals were not photographed.
The internet polls, statistical models, all the pundits agreeing on a possible outcome for the presidential election.
These increases in nonresponse threaten thequality of estimates because the estimates increasingly depend on the statistical models that researchers use to adjust for nonresponse.
She would been developing statistical models to predict the affects of climate change.
With so many clients, Weaselnow uses his computer test hundreds of thousands of range combinations with elaborate statistical models of voter behavior to get the results he needs.
We work based on statistical models and have to charge credit margins that compensate for the risk.
Oftentimes, analysts and experts are so busy with data and metrics that they seem to forget those things in life that are difficult to measure andperhaps impossible to cluster under statistical models.
For more on how researchers use statistical models to analyze eBird data see Fink et al.
Don't waste time either on easy“clocklike” questions(where simple rules of thumb can get you close to the right answer)or on impenetrable“cloud-like” questions(where even fancy statistical models can't beat the dart-throwing chimp).
DOJ Forensics has new statistical models of maggot growth to pinpoint death within a six-hour window.
After combining information from the experiment with information about the households, Costa and Kahn(2013)used a series of statistical models to estimate the treatment effect for very specific groups of people.
We utilize detailed statistical models to determine expected hours of viewing for each piece of content over its license period.
Harvard University professor Martin Feldstein told the WallStreet Journal that Klein"was the first to create the statistical models that embodied Keynesian economics," tools still used by the Federal Reserve Bank and other central banks.
It is not yet clear if these statistical models fully remove biases from the data, but ornithologists are confident enough in the quality of adjusted eBird data that, as had been mentioned earlier, these data have been used in almost 100 peer-reviewed scientific publications.
He and his team went beyond these low-hanging genetic targets andalso generated statistical models that could find mutations that don't shut down a gene's function completely, but change it slightly.
It is not yet clear if these statistical models fully remove biases from the data, but ornithologists are confident enough in the quality of adjusted eBird data that, as had been mentioned earlier, these data have been used in almost 100 peer-reviewed scientific publications.
Automatic data collection(through its services, such as Yandex. Browser, etc.) and statistical models allow you to include sites that do not participate in other ratings in the rating.
Early statistical models were almost always from the class of linear models, but powerful computers, coupled with suitable numerical algorithms, caused an increased interest in nonlinear models(such as neural networks) as well as the creation of new types, such as generalized linear models and multilevel models. .
To calculate unique reach, Google Ads uses statistical models that account for user behavior across many browsers and devices.
In statistics, an expectation- maximization(EM) algorithm is an iterative method for finding maximum likelihood or maximum a posteriori(MAP)estimates of parameters in statistical models, where the model depends on unobserved latent variables.
The probability distributionsinherent in statistical models are what distinguishes statistical models from other, non-statistical, mathematical models. .
The assumptions embodied by a statistical model describe a set of probability distributions, some of which are assumed to adequately approximate the distribution from which a particular data set is sampled.The probability distributions inherent in statistical models are what distinguishes statistical models from other, non-statistical, mathematical models. .
The various data were weighted using statistical models, and based on these data, it emerged that in most cases, vacationers made sure to protect themselves from the sun, the higher the temperatures were.
Early statistical models were almost always from the class of linear models, but powerful computers, coupled with suitable numerical algorithms, caused a resurgence of interest in nonlinear models(especially neural networks and decision trees) and the creation of new types, such as generalised linear models and multilevel models. .