Sentences with phrase «data against the model»

Not exact matches

However, Singleton said he has tested his model against historical data from the crisis year, yielding a 16 percent return against a 38 percent slump in the S&P index.

He said that if he had to rely on the European Space Agency's limited, difficult - to - access data for his work checking climate model predictions against reality, he'd be «more or less blind» — particularly in the vast, uninhabited stretches of the globe like the Pacific, which are vital for understanding the world climate.

Spencer analyzed 90 climate models against surface temperature and satellite temperature data, and found that more than 95 percent of the models «have over-forecast the warming trend since 1979, whether we use their own surface temperature dataset (HadCRUT4), or our satellite dataset of lower tropospheric temperatures (UAH).»

Against this position it is useless to argue that there are data that this philosophy does not illumine, and that mechanical models capable of explaining the processes of thought have not been devised.

Although you can also look at football helmet ratings, the NOCSAE cautions «against an over-reliance on any individual data point, rating or measurement which could lead to inaccurate conclusions or even a false sense of security that one helmet brand or model guarantees a measurably higher level of concussion protection than another for a particular athlete.»

In retrospect, the decision to reject Facebook, Google and Twitter embeds sounds familiar, since the Clinton campaign had so much faith in its own decisions and data models that staff routinely ignored information that went against their assumptions:

Data from in vivo mouse models indicate that delivery of the DMAb sequence for the influenza A-targeted monoclonal antibody protected against lethal doses of two very different, clinically relevant influenza A viruses.

The ruling against the 15 - year - old Safe Harbour deal threatens the business model of companies which use US servers to process European users» data, including Google, Apple, Microsoft and Facebook.

Scientists are checking advanced climate simulation models against existing data to find that they're running right on track to better predict drastic climate change

Model simulations can always be improved by testing predictions against field data collected from different ecosystems, and Sulman and Phillips are doing just that: investigating how roots influence soil decomposition and protected forms of carbon in forests that vary in the composition of tree and microbial communities.

The strength of this technique is that the model is continuously fine - tuned — it compares its predictions against the real - world data and self - corrects in near - real time.

Based on the results of that test, Beaty and colleagues developed a predictive model and tested against brain scan data collected for earlier studies on creativity.

By testing their model against historical data, they found their production forecasts were more accurate than those of both peak oilers, who are traditionally too pessimistic, and authorities such as the US Energy Information Administration, which is generally far too optimistic.

The authors of this new research paper analysed data and models from the USEPA's updated global non-CO2 GHG mitigation assessment to investigate the potential for GHG reductions from agricultural emissions from seven regions globally, offsetting costs against social benefit of GHG mitigation (e.g. human health, flood risk and energy costs).

In order to predict future changes in climate, scientists verify and refine their models against paleoclimate data from the ice cores Taylor and others pull up.

Bensmaia and his team validated the output of the model against data from a wide variety of experiments conducted by other research teams, and show that it matches their output with millisecond precision.

Brad Fedy, a professor in the Faculty of Environment at the University of Waterloo, and Jason Tack, a PhD student at Colorado State University, took nesting data from a variety of areas across Wyoming, and created models using a suite of environmental variables and referenced them against areas with potential for wind development.

From at least Lorius et al (1991)-- when we first had reasonable estimates of the greenhouse gases from the ice cores, to an upcoming paper by Schneider von Deimling et al, where they test a multi-model ensemble (1000 members) against LGM data to conclude that models with sensitivities greater than about 4.3 ºC can't match the data.

There'll be a mass of data to test the models against — a really big signal - to - noise ratio in a few decades time.

Presumably in this case you'd start with a model that's already been tested against a lot of data and thus serves as a compact proxy for that information.

It is also standard practice to evaluate the accuracy of the band models (or correlated k type approaches) against detailed line - by - line data and calculations.

SALSA will gather data from permanent GPS stations to better understand subglacial water flow's influence on the larger ice sheet system and improve subglacial lake modeling through comparing our model's estimates against geochemical data.

Flow cytometry and high - content analysis experimental data will be presented to demonstrate performance in receptor occupancy, antibody internalization, and effector function assays using antibodies against CD20, CD71, and HER2 in breast cancer and leukemia models.

Having previously published data on a variety of experimental mAbs against AS species in animal models -LRB-[16,20]; possibly [21]-RRB-, Prothena's Dale Schenk presented new data on additional experimental antibodies at SENS Research Foundation's Rejuvenation Biotechnology 2014 conference, roughly contemporaneous to its publication, [22] along with information specific to the humanized candidate PRX002, which is now being advanced into clinical trials.

In both cases, the results are based on the same set of blastp searches, in which we blasted each Nasonia gene against the predicted proteomes of 30 additional species, including 12 additional Hymenoptera genomes, 6 Dipteran genomes, 5 additional insect genomes, 2 additional non-insect arthopod genomes, and 5 non-arthropod outgroup genomes (see Table S4 for the full list, including gene model versions and data sources).

To test for differences in growth rates between genotypes, we fit the data using linear models regressing larval weight against age and tested for differences in the interaction term between larval age and genotype using ANCOVA and post hoc comparisons of the slopes of fitted lines using lstrends (HH and lsmeans packages).

Locality data (i.e. the 349 unique localities) were queried against all model combinations, in order to provide a value for each of the localities for each of the models.

Tom appears challenged by the idea of building global climate models based on atmospheric physics and doing years of testing those models against actual data.

This environment, designated the Virtual Environment for Reactor Applications (VERA), incorporates science - based models, state - of - the - art numerical methods, modern computational science and engineering practices, and uncertainty quantification (UQ) and validation against data from operating pressurized water reactors (PWRs), single - effect experiments, and integral tests.

Such model was also compared against experimental data on golden shiners.

The first thread integrates the geological record of past environmental changes to quantify our understanding of the past and provide data sets against which to test the models used to make projections of future global change.

It's why the use of VAM (Value Added Measures) can not contribute valid or reliable data to a teacher's effectiveness rating — because VAM is a predictive model based on comparing a set of actual student test scores against a hypothetical group of scores.

But they'd have to be damned clear about how they're calculating unit sales, would have to aggregate sufficient data so that they had an error estimate in their calculation, would have to poll for lengthy periods of time, and would have to test their results against actual data to see how the model (and this is a model of earnings, not data about earnings) corresponds with reality.

Users can opt to pay # 449 for the device on a 1 - month data package that comes with 1 GB of data, but the best package is a Dell Streak 16 GB model on a 24 - month contract with 3 GB of monthly data for # 25 a month - still incredibly pricey when put against the Apple iPad.

It's critical to test the models against real data, which is much easier when we have global high - res coverage like OCO - 2.

As to validated, I was speaking in terms of model validation — verification of trends in the model against data, etc..

This means that for the first time a large number of models can be readily tested against temperature data recorded AFTER those models were finalized.

The models serve merely to quantify these basic facts more accurately, calculate the regional climate response, and compute effects (such as the expected increase in ocean heat content or sea level) which can be tested against observed data from the real world.

Yes, and we now have about 120 years of pretty good data against which to evaluate the models, and they show unequivocally that GHGs are driving global temperature increases.

The calibrated model can be tested against another set of observed values and stresses to see if it can reproduce a data set outside of the calibration period.

It is also standard practice to evaluate the accuracy of the band models (or correlated k type approaches) against detailed line - by - line data and calculations.

However, changing the data that the model is tested against destroys the validity of of the test.

Comparing models against existing historical data is the only means of verifying a models future predictive value.

The data against which the model is to be tested should be agreed upon and locked in before the model is run.

The two most common arguments against warming theories seem to be (1) local temperature variations (or mutually - inconclusive data) disprove global warming itself; and (2) models aren't real science, anyway, so we don't need to worry about them.

Additionally, the models are frequently tested against «out of sample» data and don't «typically fail» — vis.

Success at prediction is enhanced by maximizing the number of different hypotheses (models) you can generate and test against numerical data and other available information.

There'll be a mass of data to test the models against — a really big signal - to - noise ratio in a few decades time.

He is not saying, as you seem to imply, that we should believe the models in this case, but that the data, if true (and clearly he thinks there are remaining problems with the data), go against the fundamental theoretical understandings on which data is interpreted and models are based.

Only when compared to HadCRUT do the models overestimate the warming, against all four other data sets the models underestimate the warming.