Sentences with phrase «then average the projections»

They then average the projections of all 100 + experts into a single number.

Not exact matches

Projections issued after the Australia 2020 Summit in 2008 saw the age of the average Australian farmer peaking in 2011 at just under 55 years, and then gradually declining past 2030.

Combining the asylum - application data with projections of future warming, the researchers found that an increase of average global temperatures of 1.8 °C — an optimistic scenario in which carbon emissions flatten globally in the next few decades and then decline — would increase applications by 28 percent by 2100, translating into 98,000 extra applications to the EU each year.

The model produces different jobs and growth projections for a business - as - usual scenario with no technology breakthroughs or major new policies, and then generates different outcomes by factoring in new policies such as a national clean energy standards such as proposed by President Obama; increases in corporate average fuel economy standards; tougher environmental controls on coal - fired power generators; extended investment and production tax credits for clean energy sources and an expanded federal energy loan guarantee program.

When this model was then applied to the future, they found that in a world of continuing high greenhouse gas emissions, the threshold for widespread drought - induced vascular damage would be crossed and initiate widespread tree deaths on average across climate model projections in the 2050s.

(If your data isn't representative, i.e. close to what happened on average, then your projection will be way off.

Wexboy, Reference your 30th Sept current summary in KR1, From my point of view I am in awe of your 2 % holding in KR1, The figures are very compelling and staggering in forward potential, I might have this projection all wrong but here goes, As of today 22/10/17 we have an sp of 7p, quoting your average roi on holdings within the table we have x 15 within the last 7 months giving us a current book to value of x 3.5 = sp 24.5 p, Should we assume another x 15 (I appreciate the x 15 was on the back of Ethereum, s metaphoric rise and other crypto, s tracking) over the next 12 months and and sp follows suit to say 100p, THEN we factor in a us listing and as you state the us markets award much higher book value with the average p / b in the blockchain cc sector of x 20, Then we are looking at (without dilution) in 12 months - = MC of # 2 BILLION = # 20 SP AS you state in your summary the figures are staggering so is the ablove a realistic projected mc based on the last 7 months growth and returns on investments made in CC ICOTHEN we factor in a us listing and as you state the us markets award much higher book value with the average p / b in the blockchain cc sector of x 20, Then we are looking at (without dilution) in 12 months - = MC of # 2 BILLION = # 20 SP AS you state in your summary the figures are staggering so is the ablove a realistic projected mc based on the last 7 months growth and returns on investments made in CC ICOThen we are looking at (without dilution) in 12 months - = MC of # 2 BILLION = # 20 SP AS you state in your summary the figures are staggering so is the ablove a realistic projected mc based on the last 7 months growth and returns on investments made in CC ICO, s?

But, he also says: «teams offering projections say ice extent will remain well below the average for the last quarter century and a downward trend in summer ice around the North Pole has not abated,» and we readers are then linked to his October, 2007 article and an August, 2007 image of a «warmed over» Artic.

Then, having established this passepartout, the projections are then mooshed, averaged, selectively grouped, and treated as predictions — on which great and weighty decisions can be baThen, having established this passepartout, the projections are then mooshed, averaged, selectively grouped, and treated as predictions — on which great and weighty decisions can be bathen mooshed, averaged, selectively grouped, and treated as predictions — on which great and weighty decisions can be based.

Then they have the audacity to provide a range of projections that go in opposite directions and average to....

And that this is reflected in individual model runs but as the timing of events such as El Nino / La Nina, volcanic eruptions etc. is unpredictable when projections are made based on ensemble runs then they will tend to average out and the projection will show a fairly steady trend.

let's take this to an extreme... suppose that internal variability is zero... then the «within group» s.d. is zero... suppose that models agree pretty well with each other and observations fall within the tight band of model projections... then by steve's method you create the average of models and call it a model... with an s.d. of zero... show that the model falls outside the observational s.d.... proclaim that the model fails... claim that this is a test of modelling... hence extrapolate that all models fail... even though observations fall slap bang in the model range... this result is nonsensical... per tco it isn't how models are used... where's structural uncertainty?

The gridded projections were aggregated to regional estimates by first transforming the daily min, average, or maximum temperature at the grid scale, then aggregating to regions using a weighted average.