Sentences with phrase «statistical models based»

Create statistical models based on researched information in order to provide conclusions that will guide the company and the industry into the future.

Here we demonstrate that statistical models based on random - coefficient regressions are able to emulate ensembles of process - based crop models.

OPINION Statistical models based on data science alone are not yet enough to give owners and operators the clarity they need to make the right decisions about wind turbine O&M, says Bruce Hall

In the GRL study, researchers used a statistical model based on historical climate data to separate how much of the extreme rainfall from Hurricane Harvey was due to natural influences and how much was due to human influences.

Using a statistical model based on winter near - global sea surface temperatures, Tivy shows high concentrations of ice remaining throughout the NWP region.

Using a statistical model based on canonical correlation analysis with fall sea surface temperature anomalies in the North Atlantic as the main predictor, Tivy shows below - normal ice concentrations throughout most of the region (Figure 12), which suggests an earlier - than - normal opening of the shipping season.

If the relation between extent and volume is known, the extent may be predicted with better accuracy than a statistical model based on extent alone.

Not exact matches

The data relied upon is sourced from public records, or statistical calculations («Sources») and that the model results and other information provided in the Consumer AVM reports are provided on an «as is, as available» basis with all faults and defects.

It speaks of operations research, systems analysis, technological forecasting, information theory, game theory, simulation techniques, decision theory, Delphi method, cross-impact matrix analysis, statistical time - series, stochastic models, linear programming, input - output economics, computer based command and control systems, and so on.

He's still pretty conservative and in a recent analysis, I've applied the model from The Constrained Court to estimate the policy preferences of justices and how they would map onto the vote on the health care legislation (it's all based on a statistical model that links the Court and Congress via positions members of one institution take on votes in the other).

This fact puts all unsupervised methods based on ontological dictionaries or statistical methods based on natural language processing (NLP) models under stress when it comes to accurately capturing sentiment.

The headline figures - which are based on the Treasury's own statistical models - show that a 2.5 p cut in fuel duty would quickly create 180,000 jobs, and more than pay for itself with the extra tax revenues that would be generated.

Then they mapped out the millions of citations to those papers, and searched for a statistical model that best predicted scientists» future success based on their early publication history.

Using statistical modelling analysis, he concludes that — based on the available data — an estimate for domain name demand not met by available word combinations is as much as 25 % of all currently registered Internet domains.

After that, Cane and his colleague Stephen Zebiak developed a statistical model of El Nino's dynamics, based on wind and ocean measurements in the Pacific.

They have developed a set of tools that can be used to make accurate, rapid assessments of proposed materials, using a series of relatively simple lab tests combined with computer modeling of the physical properties of the material itself, as well as additional modeling based on a statistical method known as Bayesian inference.

Based on data from 1979 to 2012, his statistical modeling showed that a state with a right - to - carry law would experience 8 percent more aggravated assaults than a state without such a law, for example.

Based on this data, we developed statistical models suitable for the inference of different climatic parameters in the past,» says the UCM researcher.

We have built statistical models that profile a home based on several attributes (year of construction, location, value, size, etc.), and provide an estimate of the risk level.

The researchers used a mathematical method based on statistical modeling, known as a polynomial transformation technique - based recursive least - squares algorithm, to first generate a mixed - rate model using fast sample rate inputs and slow - sample rate outputs that identifies the mechanical resonances beyond the Nyquist frequency, and then to derive a fast - rate model involving fast sample - rate inputs and fast sample - rate outputs from which the unwanted frequencies can be extracted.

«Our method is both direct and universal,» notes Krivitsky, «as it is not based on any particular statistical model of the cell response and thus does not involve any indirect assumptions.»

Then the team ran their calculation using a statistical model that links weight to body measurements based on a database of 28,000 people.

Statistical group analyses were based on a factorial repeated ANOVA SPM8 model with two groups (marijuana abusers and controls) and two conditions (placebo and MP) and a covariate [parts per million levels of carbon monoxide (CO), a marker for tobacco smoking (40)-RSB-.

Researchers from North Carolina State University and the University of Colorado, Boulder, have developed a statistical model that allows them to tell where a dust sample came from within the continental United States based on the DNA of fungi found in the sample.

They also argue that their estimate, which is based on statistical models only, has a major advantage over physically based considerations (theoretical models), because the latter would require a perfect knowledge about the underlying physical and chemical mechanisms.

Further research topics are statistical / computational methods to study complex experimental data (e.g. cellular genealogies) and image analysis procedures (e.g. model - based segmentation algorithms in the context of automatic single cell tracking).

In this paper, we use a new statistical framework (based on spatio - temporal empirical hierarchical modeling with Gaussian processes; code available at Github) to identify the common global signal in a new database of > 1300 geological sea - level indicators from 24 localities around the world.

Risk analysis and decision support tools; Mapping and valuation of ecosystem services; Invasive species risk assessment; Ecological and economic indicators GIS - based modeling and spatial statistical analysis

She is professor of statistics and former director of the Center for Survey Statistics and Methodology, where she led research and development for a national agro-environmental survey for the U.S. Department of Agriculture, pursued research in geospatial data collection for land - based surveys, and developed statistical models for surveys aimed at assessing dietary intake and physical activity.

We first generate a stellar field with planetary companions based on radial velocity discoveries, use a planetary evolution model assuming a variable fraction of heavy elements to compute the characteristics of transit events, then apply a detection criterion that includes both statistical and red noise sources.

To get a more concrete sense of the extent to which various factors play into the targeting of teachers for layoffs, we ran simulations based on the effects calculated by our statistical model.

This assessment is based on state tests, using a value - added model that applies statistical analysis to students» past test scores to determine how much they are likely to grow on average in the next year.

Economists have already developed a statistical method called value - added modeling that calculates how much teachers help their students learn, based on changes in test scores from year to year.

Statisticians began the effort last year by ranking all the teachers using a statistical method known as value - added modeling, which calculates how much each teacher has helped students learn based on changes in test scores from year to year.

This is why the Times rightfully asked a qualified researcher at Rand Corp., the Santa Monica - based think tank, to devise a sophisticated statistical model in an attempt to isolate the discrete effect of pedagogical skills on student growth.

Even when statistical models try to control for student - demographic variables, teachers are advantaged or disadvantaged based on the students they teach.

Among other issues, researchers have considered which scaling properties are necessary for measuring growth (see, for example, here), whether the tests» scale properties met the assumptions of the statistical models being used (see, for example, here), if growth in student achievement is scale dependent (see, for example, here), and even if tests that were vertically scaled could meet the assumptions required by regression - based models (see, for example, here).

Based on a series of experiments, [5] simulation studies, [6] and statistical tests, [7] elementary school value - added models do seem to address the selection bias problem well, on average.

«Value - added» measurements use complex statistical models to project a student's future gains based on his or her past performance, taking into account how similar students perform.

«Value - added» ratings use complex statistical models to project a student's future gains based on his or her past performance.

Research has demonstrated conclusively that using standardized test to rate teachers is invalid because scores vary widely based on the test, year, class and statistical model used.

The lawsuit centered on the system's use of value - added modeling (VAM), a controversial statistical method aimed at isolating a teacher's effectiveness based on their students» standardized test scores.

VAM ratings based on test scores have a 50 percent misclassification rating, with a variance based on the test, the year, the class and even the statistical model used.

As we know, value - added estimates are based on statistical models.

Using a statistical technique called value - added modeling, the Teacher Data Reports compare how students are predicted to perform on the state ELA and math tests, based on their prior year's performance, with their actual performance.

Statistical models that evaluate teachers based on growth in student achievement differ in how they account for student backgrounds, school, and classroom resources.

If the statistical model is based on good background information, such as prior test scores that strongly predict future test scores, this may work very well.

For example, different statistical models (all based on reasonable assumptions) yield different effectiveness scores.

This rating is perhaps the most popular and widely used model in the United States because of its robust statistical basis arising from voluminous credit files of the consumers.

Credit Scores / Rates are based on sometimes simple and sometimes quite complex Statistical Models (Generalised Linear Models, Neural Networks, Regression and Classification Trees, Mixture Models, etc).