Examples of using Statistical models in English and their translations into Vietnamese
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Advanced statistical models have proven that betting on those two categories is the most effective.
In bagging, the same approach is used,but instead for estimating entire statistical models, most commonly decision trees.
Two statistical models commonly used in practice are the discriminant analysis model and the regression model. .
High schoolers learn math and engineering in classrooms and by making water purification systems,or building statistical models for new bus routes.
For more on how researchers use statistical models to analyze eBird data see Fink et al.(2010) and Hurlbert and Liang(2012).
Further, the availability of such data and the necessary computational facilities,have fuelled the development of computationally intensive statistical models.
Second, eBird researchers use statistical models that attempt to correct for the noisy and heterogeneous nature of the raw data.
Beginning in the late 1980s, as computational power increased and became less expensive,more interest was shown in statistical models for machine translation.
Bagrow and his team used statistical models to analyse data from more than 30 million publicly available Twitter posts by almost 14,000 users.
In econometrics and statistics, the generalized method of moments(GMM)is a generic method for estimating parameters in statistical models.
Additionally, when we ran our statistical models using a sample of students from outside the United States, we found that faculty relationships were still very important.
Thousands of wildlife photographs are taken every day,and the study showed that we can use statistical models to cut through the noise and get valuable data for conservation.
Second, eBird researchers use statistical models that attempt to correct for the noisy and heterogeneous nature of the raw data(Fink et al. 2010; Hurlbert and Liang 2012).
In these times of radical uncertainty,accurately forecasting what will happen becomes more difficult- as statistical models built on historical data often don't work.
We will use these data with statistical models to produce maps that highlight the plumes of plastic emerging from urban centers and nearby areas.
After comletion of this program our graduates have the ability to analyze massive and complex data sets,design statistical models based on the latest in information technology.
KAUST Prediction of climate and weather relies on statistical models that can capture variability at one location over time as well as the relationship with other geographical….
In addition to the traditional assessment tools which based on credit history of customers,Home Credit has also used statistical models to establish potential behavioural profile of customers.
Another area in which statistical models can improve the streaming experience is by predicting what a user will play in order to cache(part of) it on the device before the user hits play, enabling the video to start faster and/or at a higher quality.
Two estimates are presented for eachgroup because the estimates depend on the covariates they included in their statistical models(see models 4 and 6 in tables 3 and 4 in Costa and Kahn(2013)).
Machine learning(ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead.
We propose an easy and convenient way to visualize the properties of the covariance structure in the data,which will help practitioners choose appropriate statistical models for covariances,” says Sun.
More recently, a study in the journal Chaos by Michael Small andMichael Tse outlined statistical models that could help to calculate a roulette ball's end pocket from the speed and trajectory of the spinning wheel using high-speed cameras.
Two estimates are presented for eachgroup because the estimates depend on the covariates they included in their statistical models(see model 4 and model 6 in Table 3 and Table 4 in Costa and Kahn(2013)).
The researchers' method couples this information with statistical models to estimate a number of additional parameters, such as species' abilities to move through fragmented landscapes, to classify species into a Red List extinction risk category.
As this example illustrates, treatment effects can be different for different people andestimates of treatment effects that come from statistical models can depend on the details of those models(Grimmer, Messing, and Westwood 2014).
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.
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.