The statistical significance of these adjusted differences as shown in Figures 2 and 3 are
estimated by models that take into account the entire distribution of responses (e.g., very satisfied, somewhat satisfied, somewhat dissatisfied, or very dissatisfied).
The graphs compare the global mean temperature
estimated by the models with that estimated from the data.
If you look just at SST changes, the maximum wind speed can be
estimated by modeling the hurricane as a Carnot cycle heat engine.
In addition, it now appears that water vapor feedback, while still positive and robust, is likely to be weaker than previously
estimated by the models.
It appears to me that the new «scientific evidence» is suggesting that water vapor feedback is not as strong as had been
estimated by the models previously and that net cloud feedback may be neutral to slightly negative, rather than strongly positive, as predicted previously by the models.
Niche Modelling concludes from the Leviticus data that net total global radiative feedback from water vapor, etc. is negative, rather than strongly positive, as
estimated by the models cited in IPCC AR4.
manacker December 19, 2012 at 8:00 pm said:» It appears to me that the new «scientific evidence» is suggesting that water vapor feedback is not as strong as had been
estimated by the models previously and that net cloud feedback may be neutral to slightly negative, rather than strongly positive, as predicted previously by the models»
Based on all the data I have been able to see, I have concluded that the 2xCO2 climate sensitivity most likely lies within the range of 0.6 °C to 1.4 °C, rather than 2.0 °C to 4.5 °C, as
estimated by the models cited by IPCC.
Could this close the gap between the climate sensitivity
estimated by models and climate sensitivity estimated from empirical evidence (as in the draft IPCC AR5, WG1, or perhaps even down to what Nic Lewis is suggesting)?
He gives a figure of -0.98 W / m ² for the NorESM1 ‑ M model, but
the estimate by the modelling team appears to be -1.29 W / m ².
Not exact matches
However... «if Amazon were successful in changing the brand pricing
model to be based on «net» price versus the current gross
model, we
estimate a portion of rebates and other supply chain discounts currently being retained
by plan sponsors, PBMs, and to a lesser degree drug distributors could pass back to consumers.»
«Williams» discovery was to project an
estimate that offers intrinsic value and it is called the «Dividend Discount
Model» which is still used today
by professional investors on the institutional side of markets.»
Other changes included a price cut on the company's rear wheel drive 70 kWh version of
Model S, and the new offer of a «Ludicrous Speed Upgrade» for the 85 kWh, all - wheel drive Model S called the «P85D» — the company's most expensive model at $ 105,000 before tax incentives and gas savings as estimated by T
Model S, and the new offer of a «Ludicrous Speed Upgrade» for the 85 kWh, all - wheel drive
Model S called the «P85D» — the company's most expensive model at $ 105,000 before tax incentives and gas savings as estimated by T
Model S called the «P85D» — the company's most expensive
model at $ 105,000 before tax incentives and gas savings as estimated by T
model at $ 105,000 before tax incentives and gas savings as
estimated by Tesla.
A study from the Penn Wharton Budget
Model in October
estimated that Trump's tax cuts would boost GDP
by 1.12 % and push jobs up
by 11.7 million more than what would have been expected without his plan
by 2018.
Wall Street brokerage Jefferies, which provided the funding
estimate cited
by The Economist, said in a note last week it expects refinancing risk to remain high for the Silicon Valley venture until it can consistently produce 10,000
Model 3s a week.
According to
estimates from Cairn Energy Research Advisors, Tesla could ship a little over 400,000 of its
Model 3 cars
by the end of 2020.
Moving to a hybrid employee - contractor
model helped the company shave its labor costs
by 5 percent to 7 percent, Spinak
estimates.
Estimates used in the report were based on leaked internal price
modeling information and calculations provided
by Uber itself.
«We
estimate a hypothetical bull case for the P - VOD
model could reach 100 million to 110 million purchases annually, based on adoption
by consumers,» says Swinburne.
I have little doubt that this
estimate was obtained
by some version of the dividend discount
model: Price = D / (k - g), where Ed Kershner decided to pick a long - term return on stocks k really, really close to the long term growth rate of dividends g. Gee, why didn't he just go ahead and set them equal and shoot for thrills?
Bloomberg's
Model 3 tracker
estimates the company may be making about 975 of the cars a week, well short of the target to build at a 2,500 - unit rate
by the end of this quarter.
Do the same thing with the Fed
Model, or most other «equity risk premium»
estimates proposed
by Wall Street analysts or academics, and you'll either cry, or laugh, or cry laughing, but you'll undoubtedly be distressed that anyone would recommend those
models as a basis for long - term investment.
When you input your
estimated monthly budget
by category, the
model will return for you the
estimated net returns for each of the cards.
The company is supposedly set to start mass production of the
Model 3 from July and recent
estimates indicate that around 100,000 vehicles are planned to be delivered
by the end of 2017.
Facebook's data collection practices, the core of its ad - based business
model, have come under broad scrutiny in recent weeks as the company has been forced to raise its
estimates of how much user information was leaked and to admit that «most» of its more than two billion users may have had their public profile data scraped
by outside harvesters.
In this
model, which was developed many decades ago
by investors and is a common valuation method, you sum up all future
estimated dividends, discount them at an appropriate discount rate, and therefore receive an output for what the intrinsic value of a share of this company is.
Likewise, recent
estimates by the Tax Policy Center and the Penn Wharton Budget
Model show that dynamic effects would marginally reduce the revenue loss in the first decade but significantly increase it over the long run because of the economic consequences of higher debt.
Recent
estimates produced with
models similar to JCT's have found the tax bills may increase the growth rate
by 0.03 to 0.09 percentage points per year, producing as much as $ 200 billion of dynamic feedback.
From those
models, they can make
estimates about whether a storm's wind or rain output was influenced
by climate change.
The key takeaways are: 1) without using a discounted cash - flow
model, the PE ratio that should be applied to a company's earnings stream can never be appropriately calculated, and
by extension, 2) when investors assign an arbitrary price - to - earnings multiple to a company's earnings (based on historical trends or industry peers or the market multiple), they are essentially making
estimates for all of the drivers behind a discounted cash - flow
model in one fell swoop (and sometimes hastily).
A new report from Citigroup
estimates European banks alone could lose more than a third of their revenue to disruptive payment
models by 2025.
Although sales taxes on soft drinks in Ireland and France have both been associated with a reduction in consumption, the health effects have not been studied.15 16 No significant effect on obesity of US state sales taxes has been found, although the level of taxation there has probably been too low to affect health.13 17 The
modelled estimates of the health effect of a 20 % sugar sweetened drink tax in the United States vary, but such a tax has been predicted to reduce obesity
by up to three percentage points.13 18 The effect of a sugar sweetened drink tax in the UK has not, until now, been formally
estimated.
The lower levels of baseline sugar sweetened drink consumption in the UK compared with the US may in part explain why the effect on obesity that we
estimate in the UK is much less than that
estimated in the US.12 The differences with respect to other
modelling studies may also be partly explained
by their use of higher own price elasticity values for sugar sweetened drinks than we have calculated and used here.18 22 52 We can not make direct comparisons between the results of our study and the results of recent studies of the effect of reducing sugar sweetened drink consumption on body weight in children, 5 7 as the relation between energy balance and change in body mass index in children who are growing is different from that in adults.
With this tool, the researchers are trying to develop a
model that can be used
by coffee farms around the world to
estimate their own carbon sequestration potential.
Deloitte Access Economics (DAE) was commissioned
by Tabcorp to
model public benefits of cost savings they anticipated from the merger DAE's Regional General Equilibrium computer general equilibrium
model (CGE
model) to
estimate «broader and long - term economy - wide benefits associated with the merger» (para 514)
We further extended our second multivariable
model to evaluate the influence on our
estimates by adjustment for additional nutrients known to be constituents of milk, but the hazard ratios were only changed
by 4 % or less.
Using the Social Genome
Model, we
estimate the different outcomes of adult income for children raised
by continuously married parents and those raised
by parents married for some or none of their childhood years.
We calculated these transition probabilities using data from the longitudinal National Health and Nutrition Evaluation Survey, which assessed a cohort of women in 1987 and the same women again in 1992.25 Several limitations of these data affect our
model: 1) because this national survey lacks data on women before age 35 years, women in our
model could not develop hypertension, type 2 diabetes mellitus, or MI before age 35 years; 2) because longitudinal survey data were only available for a 5 - year interval, we assumed that transition probabilities were stable within the 5 - year intervals and converted these probabilities from 5 - year to 1 - year intervals; 3) because the survey data were too few to provide stable
estimates by year of age, we used transition probabilities for women in three age groups: aged 50 years and younger, 51 — 65 years, and 65 years and older.
Our
model found that approximately 4,000 premature maternal deaths could be prevented
by optimal breastfeeding, although CIs for this
estimate crossed zero.
women allocated to midwife - led continuity
models of care were more likely to be attended at birth
by a known midwife (RR 7.04, 95 % CI 4.48 to 11.08; participants = 6917; studies = seven); however, the effect
estimates for individual studies are highly variable, as reflected in substantial statistical heterogeneity (Tau ² = 0.31; I ² = 94 %; Analysis 1.15).
The pooled
estimate based on a fixed - effects
model is shown
by a dashed vertical line and ⋄ (95 % CI).
All
estimates were pooled
by using fixed - effect
models; differences < 0 and ratios < 1 imply a beneficial effect of breastfeeding.
Our
estimate of the likely success of Remain and Leave in each local authority are the values predicted for that authority
by this statistical
model.
The lower probability for Clinton in the FiveThirtyEight
model is partly (
by comparison with most but not all
models) due to 538 having a smaller
estimate of her likely lead in votes.
The following table shows my
model based forecast, a 95 % probability prediction range, and the Colin Rallings and Michael Thrasher
estimates from their analysis of local
by - elections.
The point to remember here is that the ultimate aim of this
model is to get an overall, national - level,
estimate of seat numbers and these are based, as noted earlier, on the proviso that an over-prediction in one constituency may be offset
by an under - prediction in another constituency.
The former built a seat and vote share prediction
model based on huge quantities of fieldwork (7000 interviews per week) plus the now - famous Multilevel Regression and Post-stratification (or MRP) that converted that data into seat -
by - seat
estimates.
The project's schedule, according to a report
by the New York University's Rudin Center for Transportation, ended up 18 months shorter and an
estimated 15 percent cheaper than it would have been under the design - bid - build
model.
By measuring these transit timing variations and performing some fearsome
modeling of the system, they were able to
estimate the planets» masses — and work out their densities.
The team also used a separate computer
model developed
by the Federal Emergency Management Agency to
estimate the costs: more than $ 250 million in building and crop damage in the flooded area.