Sentences with phrase «on parameter estimates»

A Monte Carlo study investigating the impact of item parceling strategies on parameter estimates and their standard errors in CFA

Standardized estimated marginal means are calculated based on the parameter estimates that were obtained through the multilevel analysis.

The best - fitting estimates of the sibling control and statistical covariate model are based on parameter estimates from model 4.

For each model, there is an ad hoc change to this parameter that produces the best fit — but the confidence interval on the parameter estimate is extremely large, and correlated with all other parameter estimates.

Not exact matches

We therefore performed each simulation 2,000 times, drawing key parameters at random from triangular distributions covering the range of estimates available in the literature associating breastfeeding with maternal health outcomes, centered on the point estimate provided in the literature and a distribution width of four standard errors.

Alerts issued by earthquake early warning systems, called EEWs, are based on several parameters: the depth and location of the quake's origin, its estimated magnitude and the ground properties, such as the types of soil and rock that seismic waves would travel through.

Where classical statistics requires a direct measurement of each individual parameter, Bayesian statistics allows researchers to base an estimate on a variety of available scientific information.

«Based on the variability of pharmacokinetic parameters and drug clearance, the two Vancomycin nomograms developed to predict therapeutic Vancomycin concentrations in healthy adults did not accurately estimate dosage regimens in older children regardless of weight or age, and therefore should not be used to aid empiric dosing,» said Dr. Jessica Gillon.

For example, data on royalties for licensing drugs may be collected along with other market information (e.g., market sizes, estimated drug price, patent life) and used to develop a ranking system based on a certain set of market parameters.

The study establishes a method for estimating UHI intensities using PRISM — Parameter - elevation Relationships on Independent Slopes Model — climate data, an analytical model that creates gridded estimates by incorporating climatic variables (temperature and precipitation), expert knowledge of climatic events (rain shadows, temperature inversions and coastal regimes) and digital elevation.

The Bayesian inference process allows the estimates of each parameter to be updated based on each new measurement, gradually refining the estimates and homing in ever closer to the precise answer, he says.

Although estimates of this parameter, based on observations, are very uncertain, observers generally quote values in the range from 50 to 90 kilometres per second per megaparsec.

«Using the I - score prediction framework allows us to define a novel measure of predictivity based on observed data, which in turn enables assessing variable sets for, preferably high, predictivity,» Lo said, adding that, while intuitively obvious, not enough attention has been paid to the consideration of predictivity as a parameter of interest to estimate.

We used PET and [11C] raclopride (radioligand that binds to D2 / D3 receptors not occupied by DA) to assess the effects of methylphenidate (MP) on the nondisplaceable binding potential [BPND; ratio of the distribution volume (DV) in striatum to that in cerebellum], which is the most frequent model parameter used to estimate DA changes (27), in 24 healthy controls and 24 marijuana abusers.

Ultimately, better information on fluid volumes, flow parameters, and subsurface pressures in the region will provide more accurate estimates of the fluid pressure along this fault.

[11] Asteroseismic analyses that incorporate the tight observational constraints on the stellar parameters for α Cen A and / or B have yielded age estimates of 7000484999999999999 ♠ 4.85 ± 0.5 Gyr, [7] 7000500000000000000 ♠ 5.0 ± 0.5 Gyr, [27] 5.2 — 7.1 Gyr, [28] 6.4 Gyr, [29] and 7000652000000000000 ♠ 6.52 ± 0.3 Gyr.

However, we have so little data on the world outside our solar system that estimating the parameters of this formula accurately is next to impossible.

New paper mixing «climate feedback parameter» with climate sensitivity... «climate feedback parameter was estimated to 5.5 ± 0.6 W m − 2 K − 1» «Another issue to be considered in future work should be that the large value of the climate feedback parameter according to this work disagrees with much of the literature on climate sensitivity (Knutti and Hegerl, 2008; Randall et al., 2007; Huber et al., 2011).

SAM develops cost - of - energy estimates for grid - connected power projects based on local weather conditions, installation and operating costs, and system design parameters for a range of renewable energy technologies, including solar photovoltaics (PV), concentrating solar power (CSP), wind, and geothermal.

Indian scientists made direct contributions — ranging from designing algorithms used to analyse signals registered by detectors to ascertain those from a gravitational wave to working out parameters like estimating energy and power radiated during merger, orbital eccentricity and estimating the mass and spin of the final black hole and so on.

Parameter Estimates of the Effect of MATCH Teacher Coaching on Measures of Teacher Effectiveness

This report describes the procedures used in obtaining parameter estimates for items appearing on the 2014 - 2015 Smarter Balanced Assessment Consortium summative paper - pencil forms.

A special algorithm estimates the car's status (brake, tyre and engine temperature) on the basis of various dynamic parameters (lateral acceleration, longitudinal acceleration, speed, engine revs).

There's an estimated fares destination map located here to see specific rates, but fares are still subject to change depending on the parameters mentioned above.

You'll need to decide on scouting parameters and sign players based on estimated level.

Then on top of this model you would simply estimate the relevant parameters such as feedbacks, aerosols, etc..

If we calibrate a driver / response relationship based on a criterion of some minimal correlation (or probability) from a linear model, but the calibration period from which that derives only actually samples some part of a more complex, non-linear response surface / curve, then the estimates of the parameter of interest in times past could be seriously wrong and / or the certainty in the parameter over-estimated.

The «no feedback» value is the one estimated by Myhre et al. 1998b, based on GH theory, laboratory spectroscopic data and model simulations (feedback parameter = 0).

The approximate uncertainty of the daily metabolic parameters was estimated using a procedure based on a Monte Carlo simulation.

If there are variations on the model, then the model, its variations, and all their parameter estimates and precisions defines the population.

All measurements are estimates of a physical parameter based on a model.

What I demonstrated was that Earth's 140 year GAST, which I'd estimate might require roughly 30 parameters to represent (the number will depend on the efficiency of the orthogonal function set), can be represented as accurately as IPCC's smoothed estimator itself with a linear transfer function with just 5 parameters.

The same is true for any estimate of a physical parameter based on a method with a large range of uncertainty and no well defined theory or earlier data to define the prior.

Maybe I'm the only one having trouble here, but I don't understand why you've presented an argument based on emissions and land use data estimates when the significant parameter (atmospheric CO2 concentration) has been more directly and precisely measured via ice core data.

The purpose of the objective prior is not to get the best a priori estimate of the value of the parameter in question, the purpose is to reduce as much as possible the influence the prior has on your conclusion, and maximise the influence of the evidence.

For the sake of brevity, I took the «official» values of the CO2 radiative forcing and of the Planck parameter as correct, and pointed out to the audience that the major debate between the skeptics and the believers centers on the overall feedback gain factor, which — in the IPCC's implicit central estimate — is 2.81, almost tripling the warming that a CO2 doubling causes before feedbacks are taken into account.

If the Earth's true emission temperature (which occurs somewhere at altitude in the troposphere) is less than the 255 K predicted by theory (assuming an albedo 0.306), then the Planck parameter may well be considerably less than the IPCC's value, in which event on this ground alone climate sensitivity may be well below its central estimate of 3.26 K per CO2 doubling.

For the purposes of this effort to develop a system that could put a price on carbon in the New York State wholesale electric market I agree that the IWG SCC estimate minus the RGGI cost is the appropriate parameter to use.

Assessing the role of uncertain precipitation estimates on the robustness of hydrological model parameters under highly variable climate conditions.

A little amusingly, the official 2007 Intergovernmental Panel on Climate Change estimates arose from a survey of contemporary IAMs, which now tend to cite the IPCC's parameters as gospel.

In case of continuous variables, we can replace choosing priors for the Bayesian inference by choosing the parameter that we use in the determination of the maximum likelihood estimate among parameters that have a unique monotonous functional dependence on each other.

It is shown that this estimate is based on a wrong interpretation of the literature, a confusion of short - term with long - run costs, and a selection of worst - case assumptions and parameters.

So, ocean thermal inertia should scare us for the warming that gets held «in the pipe», but it should not be a source of LTP - related skepticism on the estimated magnitude of the GHG sensitivity parameter?

These estimates for the response of the AMOC to future anthropogenic forcing rely on our «best guess» for many of the complex model details, and do not account for uncertainty in the model input parameters.

However, the chronology also depends on the various methods used to adjust for various known biological effects and on the choices for how various parameters are estimated.

For example, all estimates of government revenue and outgo depend on some sort of economic model, which superficially have the same weaknesses as climate models: validation issues, adjustable parameters, some key processes (convection, precipitation, human behavior) can't be reliably modeled.

However, these estimates for the response of the AMOC to future anthropogenic forcing rely on our «best guess» for many of the complex model details, and do not account for uncertainty in the model input parameters.

«The assessment is supported additionally by a complementary analysis in which the parameters of an Earth System Model of Intermediate Complexity (EMIC) were constrained using observations of near - surface temperature and ocean heat content, as well as prior information on the magnitudes of forcings, and which concluded that GHGs have caused 0.6 °C to 1.1 °C (5 to 95 % uncertainty) warming since the mid-20th century (Huber and Knutti, 2011); an analysis by Wigley and Santer (2013), who used an energy balance model and RF and climate sensitivity estimates from AR4, and they concluded that there was about a 93 % chance that GHGs caused a warming greater than observed over the 1950 — 2005 period; and earlier detection and attribution studies assessed in the AR4 (Hegerl et al., 2007b).»

So yes, you don't know the changes in the tails with the same confidence as the middles, and you never will, but you can have some pretty strong and defensible clues based on the totality of the evidence coming from the estimated changes in various parameters of the distribution.

[8] I estimate GISS - E2 - R's effective climate sensitivity applicable to the historical period as 1.9 °C and its ERF F2xCO2 as 4.5 Wm − 2, implying a climate feedback parameter of 2.37 Wm − 2 K − 1, based on a standard Gregory plot regression of (ΔF − ΔN) on ΔT for 35 years following an abrupt quadrupling of CO2 concentration.