Sentence examples for creating statistical models from inspiring English sources
Before creating statistical models for elections, Mr. Silver was a baseball sabermetrician who built a highly effective system for projecting how players would perform in the future.
There are many approaches to building and creating statistical models in medical research [ 25].
For creating statistical models, we used expression data available from the Allen Brain Atlas.
This study also created statistical models to predict total recoverable petroleum hydrocarbons concentration in soils by utilizing the absorption features found in the mid-infrared region spectra.
With the DNA from enough people, it's now become possible to create statistical models that can predict, from any single individual's DNA, what traits that person is likely to have, including the chance of getting diabetes or breast cancer, as well as the likelihood of being particularly short or having a higher IQ than average.
Principal component analysis and linear regression are used to create statistical models that can draw on information from two or more databases to estimate values for a large range of anthropometric variables.
Using these data, the UCSF and CERCH team created statistical models to look at the relationship between deportation worry and health metrics such as blood pressure, body mass index (BMI) and waist circumference, which previous studies have linked to other structural and societal stressors like discrimination.
WorldQuant claims it creates statistical models to profitably buy and sell financial securities using large numbers of diverse datasets sourced from traditional and nontraditional vendors.
By assembling all the data that is collected through the hypervisor and other virtual and physical components of the data center, CloudPhysics creates statistical models of components and systems that take the guesswork out of making decisions about provisioning.
Next, we will create statistical models of pathological CTE risk, using these diagnostic features as predictors.
For the third metric, the population-weighted average concentration, we created statistical models to characterize the spatial variability of ambient air pollutant concentrations throughout Atlanta [ 13, 14].
