Sentences with phrase «model input assumptions»

While most companies stop short of disclosing details of the «planning scenarios that inform their investment decisions, one can gain insights into their thinking with each annual «Energy Outlook» and the shifts in model input assumptions used.

Not exact matches

The white paper authors did not consult with industry in the course of their work, resulting in significant inaccuracies in the model inputs and assumptions.

February 22, 2017 IEPR Commissioner Workshop on Data Inputs and Assumptions for IEPR Modeling and Forecasting Activities

Key inputs to our modeling include PIMCO's long - term capital market assumptions.

The Delay Deduction?spreadsheet models your choices and allows you to input your own variable assumptions.

Inputs refer broadly to the assumptions that market participants would use in pricing the asset or liability, including assumptions about risk, for example, the risk inherent in a particular valuation technique used to measure fair value including such a pricing model and / or the risk inherent in the inputs to the valuation techInputs refer broadly to the assumptions that market participants would use in pricing the asset or liability, including assumptions about risk, for example, the risk inherent in a particular valuation technique used to measure fair value including such a pricing model and / or the risk inherent in the inputs to the valuation techinputs to the valuation technique.

Let me begin by saying that I don't have a detailed understanding of the model's various inputs and all of its assumptions.

Ok in response to relative humidity being at or near constant, it is the models which tend to represent it as so, due to the input assumption as so.

Incorporation of information typically used as input assumptions by integrated assessment models of the global energy - economy - land use system, or by global - scale climate impact models of different sectors.

It's also not surprising that an off - the - cuff prediction that the future will look like the past is not a bad way to predict the future, but the models were not given the benefit of that shortcut, and so what was at issue was their ability to yield reasonable output on the basis of inputted physical principles, initial and boundary values, parametrizations, and appropriate choice of simplifying assumptions.

It also implies that regulatory models should be managed in a way to enhance models in a timely manner and assist users and others to understand a model's conceptual basis, assumptions, input data requirements, and life history.»

Remember: empirical scientific evidence (Feynman)(not what someone said on a blog site, and certainly not model simulations, which are only as good as the input assumptions).

The only point I would make is that made repeatedly by Willis Eschenbach (my simplification): Model outputs are only as good as their input assumptions.

[Not model simulations, which are only as good as their input assumptions, but empirical evidence i.e. based on actual physical observations or reproducible experimentation (Feynman)-RSB-

We are helping you to understand that there are other plausible explanations for global warming, and the assumption that it is due to CO2 is based only on opinionated papers hand - waved through the peer review process by friendly referees [while skeptical papers rarely see the light of day], and by computer model outputs, which are invariably unable to predict the future climate, or even today's climate with all available past data as the input.

This is why Carbon Tracker has reviewed the modelling assumptions of institutions to ensure scenario inputs are as accurate as possible.

Only th models project a doom and they only reflect the pessimistic assumptions made in the inputs.

Thus they input erroneous data, simplistic assumptions, personal biases, and political and financial calculations, letting models spew out specious scenarios and phony forecasts: garbage in, garbage out.

The assumptions made appear to be the input to super scientific computer modeling that achieves desired results.

On the other hand, had the actual temperature trend been as Hansen's model projected, one could have concluded that Hansen's model (including the input assumptions made) were validated (or corroborated) by the observed data.

The attribution of the warming is made from assumptions [G and Curry] from models and the models are all programmed to input 0.2 degrees rise a decade [the rise that «must «occur when CO2 is going up at this rate»].»

While the AEO 2017 Reference case continues to model the Clean Power Plan as law, other changes to input assumptions have resulted in strikingly different projections, relative to AEO 2016.

There has been no attempt to propagate uncertainty through the FUND, DICE and PAGE models, not to mention whatever front end assumptions about carbon and climate are being used as inputs.

But the realism of such models are only as good their assumptions and inputs, some of which is worth scrutiny.

There is a wide range in the estimated heat - trapping emissions and other environmental impacts from each biofuel over its life cycle (i.e., from farm to finished fuel to use in the vehicle), depending on the feedstock, production process, and model inputs and assumptions.

Models reflect Computational — the results are exactly what they should be based on the assumptions and data input.

I do have an independent way to test your speculation — which is to see whether my forward model of the GISS - E2 - R historic run is significantly improved by modifying the forcing input under the assumption that the LU data were not correctly included.

The models return the result that CO2 is the most important driver of climate in the coming century because their programmers built them with that assumption, not because the model somehow sorts through different inputs and comes up with the key drivers on its own.

This model allows in - house counsel and law firms to test assumptions and input data (for example, numbers of associates and partners, rates, overhead, etc.) and see how changes in these and other factors can affect a firm's efficiency and profitability.

So the first problem with the model is with the underlying assumption that ignores the customer who wants to pay for outputs, not inputs.