Sentences with phrase «using parameters estimated»

But model x and model y are apparently measurements from a «holdout», or «verification» period, using parameters estimated from a distinct calibration period, and hence RE.gt.0 is not mathematically enforced.

Summary estimates were calculated using a general variance - based method (random - effects model) with 95 % CIs.19 Because the potential confounders considered in multivariate analyses vary across studies, we used the parameter estimates in the most complex model, which typically include demographic, lifestyle, and dietary factors.

(3) If you fit a line and then use the parameter estimates of that line as input into other analysis (as was done in our sample paper, referenced below), your results will be too certain.

Not exact matches

This means that the degree of consciousness attained by living creatures (from the moment, naturally, when it becomes discernible) may be used as a parameter to estimate the direction and speed of Evolution (that is to say, of the Cosmic Coiling) in terms of absolute values.

«I think there's a future in using geologic evidence to constrain these parameters, and maybe improve our estimate of seismic hazard in the Pacific Northwest.»

«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.

«It is the first time numerical simulations of binary black holes are used directly to estimate the parameters of a binary and, in this paper, it is proved that this can be done to the highest accuracy,» Lousto said.

«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.

In the consensus statement endorsed by the American Academy of Pediatrics and published in the December Journal of the Academy of Nutrition and Dietetics, and Nutrition in Clinical Practice, the two organizations say: «The universal use of a single set of diagnostic parameters will expedite the recognition of pediatric undernutrition, lead to the development of more accurate estimates of its prevalence and incidence, direct interventions and promote improved outcomes.»

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.

Finnish Meteorological Institute has been doing estimates of two essential sea ice parameters — namely, sea ice concentration (SIC) and sea ice thickness (SIT)-- for the Bohai Sea using a combination of a thermodynamic sea ice model and Earth observation (EO) data from synthetic aperture radar (SAR) and microwave radiometer.

These parameters are then employed to estimate intrinsic stellar properties, including absolute magnitudes, using the Bayesian tool PARAM.

Some also used as alternative nonuniform priors for Kv or other parameters being estimated.

We estimated the neutral mutation parameter (4Neμ for autosomal loci and 3Neμ for X-linked loci), where Ne is the effective population size and μ is the mutation rate per site per generation, using two estimators: Watterson's θw [67], the proportion of segregating sites in a sample, and π [68], the average number of pairwise differences per sequence in a sample.

In practice, when estimating S and Kv, marginal parameter inference may be little different between using the original Jeffreys» prior and targeted reference priors.

We therefore used this information for estimating annual adult sex ratios, but did not use it to estimate additional population parameters due to further fragmentation of the small sample size.

We find that our estimates and their associated uncertainties are comparable to the results of other methods, but with the additional benefit of being able to explore many more stellar parameters while using much less computation time.

Using Mg / Ca paleothermometry from the planktonic foraminifera Globigerinoides ruber from the past 500 k.y. at Ocean Drilling Program (ODP) Site 871 in the western Pacific warm pool, we estimate the tropical Pacific climate sensitivity parameter (λ) to be 0.94 — 1.06 °C (W m − 2) − 1, higher than that predicted by model simulations of the Last Glacial Maximum or by models of doubled greenhouse gas concentration forcing.

Robust design multi-season mark - recapture modelling [27] was used to estimate life history parameters such as survival, temporary emigration and immigration, and changes in abundance.

We constructed a spatially explicit model of pathogen spillover in bumble bees and, using laboratory experiments and the literature, estimated parameter values for the spillover of Crithidia bombi, a destructive pathogen commonly found in commercial Bombus.

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.

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.

To consider the economic significance of these parameter changes, I use the estimates to examine the implications for a simple portfolio decision model in which a US investor could choose between US and foreign portfolios.

Plus, I'm not really a fan of the CAPM and the Fama - MacBeth appears to be used to estimate CAPM parameters.

Model specification choices such as when and how to shrink parameter estimates could result in different expected return outputs than are generated by the model used here.

Model specification choices, such as when and how to shrink parameter estimates, could result in different expected returns outputs than are generated by the model used here.

Model parameters were estimated using a finite amount of data and are therefore subject to estimation error.

This is visualized in figure 4 where ensemble members from the CCSM4 AR4 runs are fit with S - shaped (Gompertz) functions using the 1979 - 2011 period to estimate the parameters.

Demographers do their utmost to estimate as accurately as possible the key parameters of a population, using statistical analysis, models and of course as much relevant data as are available, in particular censuses, surveys and registrations.

Using Mg / Ca paleothermometry from the planktonic foraminifera Globigerinoides ruber from the past 500 k.y. at Ocean Drilling Program (ODP) Site 871 in the western Pacific warm pool, we estimate the tropical Pacific climate sensitivity parameter (λ) to be 0.94 — 1.06 °C (W m − 2) − 1, higher than that predicted by model simulations of the Last Glacial Maximum or by models of doubled greenhouse gas concentration forcing.

Would it not be more appropriate to rerun the models over the same time span that Hansen ran them, using current best estimates of parameters (such as sensitivity to CO2 doubling) and see what those predict?

A detailed reanalysis is presented of a «Bayesian» climate parameter study (Forest et al., 2006) that estimates climate sensitivity (ECS) jointly with effective ocean diffusivity and aerosol forcing, using optimal fingerprints to compare multi-decadal observations with simulations by the MIT 2D climate model at varying settings of the three climate parameters.

The code shows the specific values used for the key parameters such as degrees of freedom for estimates of likelihood statistics.

While a definite «theory» for such parameters (latent variables in the language of statistics) may remain elusive, it may be possible to estimate them using machine learning approaches.

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

It tends to be parsimonious (i.e, frugal) in the use of parameters and to provide better estimates of the response ``

(b) because I don't use the distorted portion in estimating parameters (which as Pekka points out raises a different concern that I'll address in response to him).

If you know of anyone who has used the 3D model described in the paper I linked above (or a more complex one) to estimate this climate sensitivity parameter, please just share the link so I can see what they do and how they derive it.

For the purpose of the exercise, I therefore used the relationship of Callendar's Figure 2 to estimate GLB temperature, recognizing that the parameters of this figure would only be an approximation to Callendar's GLB calculation.

We find that the parameter [Tpre] n estimated for each nth SC and the Shannon entropy [E] n can be used to determine the descent time of the (n + 2) th SC.

(b) Correlation coefficient between [E] n and test parameter [Ttest] n is shown with corresponding number of variables used for estimating the [Ttest] n.

In PK, judicious use of Bayesian statistics has gotten better estimates of the rate parameters than maximum likelihood and least - squares.

They may get the physics wrong, they may use the wrong parameter estimates, they may or may not work, their use of ensemble averages to predict most probable trajectories may not be correct, but that doesn't mean that they are not science or that they qualify as religion.

A regression using spherical harmonics could do this by including a shift for each thermometer as a parameter to be estimated in the regression.

Ilin and Kaplan (2009) and Luttinen and Ilin (2009) used iterative algorithms that make use of data throughout the record to estimate the covariance structures and other parameters of their statistical models.

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 paper incorporates data - driven estimates of the value of fuel economy into an automotive market simulation model that has three components: a consumer demand function that predicts consumers» vehicle choices as functions of vehicle price, fuel price, and vehicle attributes (the new estimates of the value of fuel economy are used to set the parameters of the demand function); an engineering and economic evaluation of feasible fuel economy improvements by 2010; and a game theoretic analysis of manufacturers» competitive interactions.

Condition 2: k − m < Cm, with a parameter Cm estimated using the equation (see Eq.