Sentences with phrase «term model predicts»

That's why the Medium - Long Term Model predicts bear markets and signfiicant corrections.

* The Medium - Long Term model predicts bull markets, bear markets, and significant corrections in bull markets.

Our Medium - Long Term Model predicted both of these in advance.

Not exact matches

A computer model built by Reuters used historic trends and other data to predict that a Republican will take the White House when Obama's term ends.

Republicans talk of sparking economic growth rates in the range of four per cent, but models run by non-partisan forecasters, such as the Wharton business school at the University of Pennsylvania, predict only a modest increase over the shorter term.

«Ultimately, our goal is to develop novel models to predict the long - term effect of irradiation on the structure and properties of materials,» Bauchy said.

«We found that the agnostic model predicts roughly $ 1.30 in near - term GDP growth for each $ 1 in spending,» Traum says.

«Most climate models that incorporate vegetation are built on short - term observations, for example of photosynthesis, but they are used to predict long - term events,» said Bond - Lamberty, who works at the Joint Global Change Research Institute, a collaboration between PNNL and the University of Maryland in College Park, Md. «We need to understand forests in the long term, but forests change slowly and researchers don't live that long.»

In terms of applications, accurately representing drifting snow in meteorological models is a key aspect of precisely assessing the mass balances of snow - covered regions — it's critical for predicting snow - depth variations, avalanche danger and even forecasting drifting snow.

«Specifically, we developed a model to predict seasonal variations of respiratory mortality rates in terms of monthly changes in air pollution levels and several other factors such as smoking during an almost 20 - year period.»

The Division conducts research on the longâ $ term impact of human activities on climate and natural resources using a research strategy that starts with measurements and carries that information into models, with a goal of improving the nation's ability to predict climate change.

A preference for copying these «model A» individuals would therefore be beneficial in evolutionary terms, and hence, we predict that in the absence of the stringent controls implemented in this study, the preference to copy prestigious models may be even more pronounced in the natural setting.

A modelling analysis predicted that dark chocolate consumption in populations at high risk of cardiovascular disease could potentially avert cardiovascular events over the long term owing to its antihypertensive and metabolic effects

Once complete eHarmony then compares your results with others in their matching models to determine your ideal match which are scientifically proven to predict healthier and happier long - term relationships.

Stage theory conceptualizes leadership succession as a process with distinct phases and demands, rather than a singular event.212 Patterns in the process have been identified, and the ways in which each phase of the succession process shapes and influences the outcome of subsequent phases have been described.213 Most stage models predict that it takes at least five to seven years to build relationships of trust that can serve as a foundation for movement to later stages of the succession process — «consolidation and refinement,» in Gabarro «s (1987) terms.

The standard neo-classical model of wage setting predicts short - term effects of temporary labor market shocks on careers and low costs of recessions for both more and less advantaged workers.

A Paradigm Shift readers won't find the phrase «algebraic thinking» in the Math Panel's report, but researchers and others have used the term to describe «particular ways of thinking, including analyzing relationships between quantities, noticing structure, studying change, generalizing, problem solving, modeling, justifying, proving, and predicting» (cai & Knuth, 2005).

On a separate subject, Nair was asked how he felt about a recent Consumer Reports survey that listed Ford 26th of 28 brands in terms of ’14 models» predicted reliability.

Finally, however, this model actually scored poorly in terms of reliability according to the Predicted Reliability Rating provided by J. D. Power.

Longer term the model's (relatively) high predicted sales volumes and significant cost of ownership are likely to count against it.

While prisons can be seen as having similar economics of a regulated utility company with faster earnings growth, the inability to predict long - term shifts in the business model leads me to favor relatively pricier utilities, which provide roughly the same yield as CXW would if it converted to a REIT with much more predictability going forward.

As another example, the previously successful hedge fund, Long Term Capital Management (LTCM), was driven into the ground in 1998 as a result of the ripple effect caused by the Russian government's debt default, something the company's computer models could not have predicted.

Or we can apply the Gordon equation directly or John Bogle's variant, both of which are based soundly on the dividend discount model, to predict overall performance in the intermediate - term.

That's why it's important to avoid «significant corrections» and bear markets, which is what the Medium - Long Term Model tries to predict.

For every argued case during the 2002 term, the model predicted 75 per cent of the court's affirm / reverse results correctly, while the legal experts collectively got only 59.1 per cent right.

The Medium - Long Term Model initially predicted that this would be a «significant correction» (so we did get the SELL signal in 1972).

In other words, if crunch works, it should provide a «lift,» and for projects that involved more crunch, we should see a positive error term (that is, game projects that crunched should have turned out better than the crunch - free model predicts), while for projects that involved little or no crunch, we should see a negative error term.

Gonzalez - Torres himself had formulated a brilliant theoretical approach to the circulation of images, objects, and ideas, based on a model of virality, that incisively responded to the horrors of the AIDS crisis while accurately predicting the terms of our current cultural epoch.

Turner Hopeful Predicts Judges Will Discount His Model Entry The Herald; October 23, 2013; Miller, Phil; 700 + words... for this year's Turner Prize in Derry - Londonderry... high animatronic «Life Model» which occasionally... in terms of the Turner Prize, there has to... Because he is a life model, I wanted him... is a very good life model because he doesn... going to win tModel Entry The Herald; October 23, 2013; Miller, Phil; 700 + words... for this year's Turner Prize in Derry - Londonderry... high animatronic «Life Model» which occasionally... in terms of the Turner Prize, there has to... Because he is a life model, I wanted him... is a very good life model because he doesn... going to win tModel» which occasionally... in terms of the Turner Prize, there has to... Because he is a life model, I wanted him... is a very good life model because he doesn... going to win tmodel, I wanted him... is a very good life model because he doesn... going to win tmodel because he doesn... going to win the...

They also say that their medium - term forecasting uses essentially the same computer models as those employed in predicting longer - term climate change.

But what the GSL now says is that geological evidence from palaeoclimatology (studies of past climate change) suggests that if longer - term factors are taken into account, such as the decay of large ice sheets, the Earth's sensitivity to a doubling of CO2 could itself be double that predicted by most climate models.

This provides another tool in addition to more directly observed properties for the improvement and evaluation of these models and is in our view the best use of PIOMAS in the context of predicting the long - term trajectory of sea ice.

This analysis will reveal new insights about model biases, their causes, and about the role of natural variability in long - term change.It is possible that this analysis will change the predicted timing of the «ice free summers» but large uncertainties will likely remain.

# 98 — ``... until the models have the ability to predict the short term variations occurring over the time interval of one year, we don't know how well the models have estimated natural variability.»

The working hypothesis is that even if the climate system may have the possibility of long - term chaos, it is nonetheless more like William's example of what happens when you change a parameter of the Lorentz model, than it is like the problem of predicting a single day's weather a year ahead.

Many would think such a cooling outcome to be extremely unlikely (in the deep psyche impossible), but until the models have the ability to predict the short term variations occurring over the time interval of one year, we don't know how well the models have estimated natural variability.

My main argument that speaks for an anthropogenic influence is the long - term downward trend since 1930 inferred from the SST data in the subpolar Atlantic, and the fact that climate models driven by anthropogenic forcing predict just such a relatively cold patch in this same area.

In terms of the gold that a climate science denier might find in the paper, at the very least, they could argue that the fact that the troposphere isn't warming more quickly than the surface shows that the climate models are unreliable — even though the models predict just the pattern of warming that we see — with the troposphere warming more quickly than the surface over the ocean but less quickly than the surface over land.

I think there is an important context here that is easy to lose in all of the emphasis on the thing that the trees don't appear to be doing well w / (i.e. the response to the high - frequency cooling events associated primarily with explosive volcanic eruptions): that's, the thing that the trees appear to be doing remarkably well with, i.e. capturing the long - term trends and low - frequency variability that is predicted by the climate model simulations.

Not only is the climate of the Lorenz model easy to understand, it is also simple to predict how it will respond to a variety of «external forcings», in the form of either a parameter perturbation or direct forcing term in the dynamical equations.

I'm no climate scientist, but I know models in all fields are based on clusters of formulae, and these formulae are often derived from real world data partly by trial and error, and adjusting terms until they can reliably predict past and future data.

The scientific community has also known for some time that the predicted future global warming in most climate models (more than 2 degrees C.) would probably be well above the long - term average temperature present at any time during the Holocene.

The paper provides a geologically long - term perspective on recent temperature changes in the Northern Hemisphere and the ability of climate models, such as the National Oceanic Atmospheric Administration and National Center for Atmospheric Research (NCAR) models used in the study, to predict the changes.

b) today's models won't, and can't, predict short - term trends, which depend on natural variability.

Skeptical101 # 14 My interpretation and synopsis of the considerable technical detail and references provided by Tom Curtis # 15 & One Planet # 16, # 17 is that your»... not use it as an argument to support AGW» is correct if used over periods in which short term natural variability influences the trend strongly (< 30 years was mentioned sometimes) and, in particular, the models are not able to predict the ENSO conditions at all well.

Additionally, the observed surface temperature changes over the past decade are within the range of model predictions (Figure 6) and decadal periods of flat temperatures during an overall long - term warming trend are predicted by climate models (Easterling & Wehner 2009).

Truncating down to 1950 has yet another benefit: it shows that if we ignore the temperature data beyond 1970 (since we're using 1950 - 1970 temperature data to avoid end effects) and find the best fit using only HadCRUT3 up to 1970, we predict the next four decades of temperature remarkably well, even predicting the relatively flat temperature for 2000 - 2010, which the model shows is entirely attributable to SOL and has nothing to do with a cessation of long - term global warming.

The US CLIVAR Extremes Working Group was formed to evaluate whether current climate models produce extremes for the right reasons and whether they can be used for predicting and projecting short - term extremes in temperature and precipitation over North America.

As mentioned above, it shows the models do well at predicting model monthly - scale variability — so they are capturing many elements of what would be reasonably termed «weather».

Summary «The conclusion is the same as in each of the past few years; the models are on the low side of some changes, and on the high side of others, but despite short - term ups and downs, global warming continues much as predicted.»