Sentences with phrase «estimated means of model»

Not exact matches

This news release contains forward - looking statements within the meaning of the U.S. Private Securities Litigation Reform Act of 1995 and Canadian securities laws, including statements regarding: BlackBerry's expectations regarding new product initiatives and timing, including the BlackBerry 10 platform; BlackBerry's plans and expectations regarding new service offerings, and assumptions regarding its service revenue model; BlackBerry's plans, strategies and objectives, and the anticipated opportunities and challenges in fiscal 2014; anticipated demand for, and BlackBerry's plans and expectations relating to, programs to drive sell - through of the company's BlackBerry 10 smartphones; BlackBerry's expectations regarding financial results for the second quarter of fiscal 2014; BlackBerry's expectations with respect to the sufficiency of its financial resources; BlackBerry's ongoing efforts to streamline its operations and its expectations relating to the benefits of its Cost Optimization and Resource Efficiency («CORE») program and similar strategies; BlackBerry's plans and expectations regarding marketing and promotional programs; and BlackBerry's estimates of purchase obligations and other contractual commitments.

This news release contains forward - looking statements within the meaning of the U.S. Private Securities Litigation Reform Act of 1995 and Canadian securities laws, including statements regarding: BlackBerry's expectations regarding new product initiatives and timing, including the BlackBerry 10 platform; BlackBerry's plans and expectations regarding new service offerings, and assumptions regarding its service revenue model; BlackBerry's plans, strategies and objectives, and the anticipated opportunities and challenges in fiscal 2014; anticipated demand for, and BlackBerry's plans and expectations relating to, programs to drive sell - through of the Company's BlackBerry 7 and 10 smartphones and BlackBerry PlayBook tablets; BlackBerry's expectations regarding financial results for the second quarter of fiscal 2014; BlackBerry's expectations with respect to the sufficiency of its financial resources; BlackBerry's ongoing efforts to streamline its operations and its expectations relating to the benefits of its Cost Optimization and Resource Efficiency («CORE») program and similar strategies; BlackBerry's plans and expectations regarding marketing and promotional programs; and BlackBerry's estimates of purchase obligations and other contractual commitments.

Construction methods include equal weighting, two versions of minimum volatility, three versions of mean - variance optimization, eight versions of reward - to - risk timing (six of which involve factor models) and a characteristic - based scheme that each year estimates stock weights based on market capitalization, book - to - market ratio, gross profitability, investment, short - term reversal and momentum.

The ~ 6 - million - km2 Amazonian lowlands were divided into 1 ° cells, and mean tree density was estimated for each cell by using a loess regression model that included no environmental data but had its basis exclusively in the geographic location of tree plots.

Early tests of the model showed that it was able to estimate pain levels with about 80 % degree of accuracy, which means that the system is learning.

Then, the researcher used a mathematical model to translate the quantile estimates into mean and standard deviation of yield.

To examine this question, we preregistered a series of analyses using Multiple Indicator Multiple Causes (MIMIC) models (Jöreskog & Goldberger, 1975; Kievit et al., 2012) to relate the mean and slope estimates for fluid intelligence to the various brain measures, and asked:

Longitudinal mixed models were also used to estimate the effect of vaccine dose on mean log - transformed antibody levels over time, using a spatial exponential covariance structure to model the correlation between measurements from the same individual while taking into account the number of study days between measurements.

For example, if someone publishes a paper with a simplified model that assumes no feedbacks giving a mean ECS at 1.2 K, this will not push the combined estimate downwards (regardless of what will be written on the «skeptic» blogs...).

Jackknife estimation of abundance using the heterogeneity models [25] showed that the estimated mean adult population ranged from 12 (95 % CI = 11 — 19) to 14 (95 % CI = 14 — 21) during the four years (Table 1).

Today's real cool fact of the day is that holistic medicine is used by about half the world's population and that the WHO, the World Health Organization, which is not a friend of alternative medicine or quite often stuff that works, other then very basic sanitary measures, but they're estimating that between 65 - 80 % of the world's population uses what they call alternative medicine as their primary from of healthcare compared to only 10 - 30 % of people who use conventional medicine, which actually means that since the vast majority of people use alternative medicine that's conventional medicine, and what they call conventional medicine is actually a radical alternative, if only 10 % of the world is using the burn and poison model of medicine, which is the one that's quite often promoted that way.

«Researchers reanalyzed the LA Times data and came up with different results, and I analyzed the NYC data, and even though NYC uses a pretty rich value - added model that controls for lots of stuff, eliminating much of the bias, that means you're left with relatively noisy estimates, that jump around a lot from year to year.»

We analyzed data using the LISREL 8.80 analysis of covariance structure approach to path analysis and maximum likelihood estimates.42 We used four goodness - of - fit statistics to assess the fit of our path model with the data: the Root Mean Square Error of Approximation test (RMSEA), the Norm - fit index (NFI), the adjusted Goodness of Fit index (GFI) and the mean Root Mean Square Residual (RMR).

I've estimated a number of mean - reverting models in my time.

For what it's worth, I haven't specifically checked for the effect of non-linearities on the underlying trend (as estimated based on the model mean) on the liberality of the test on the tropospheric trend presented in the test reported in Table III in Santer et al..

The estimated uptake timescales are within the range he reports for his data - driven calculation, 50 years or so, even though the mean uptake time of the ocean reservoirs in that model, weighted by their sizes, is 600 years.

[Response: There are a couple of issues here — first, the number of ensemble members for each model is not the same and since each additional ensemble member is not independent (they have basically the same climatological mean), you have to be very careful with estimating true degrees of freedom.

Mean temperature, mean monthly precipitation, frequency of hot / cold days / nights, and indices of extreme precipitation are all estimated for each country based on observed and modeled data.

Estimates of the mean trend are obtained for each family of models (i.e. a set of models coming from the same model team) and at the same time an estimate of the relationship between GSMT and trend is also obtained.

«Researchers (17, 18) estimated mean and SD of feedback factors calculated from two different suites of climate models.

Kauker et al. (AWI / OASys), 5.58 (+ / - 0.41), Modeling (same as June) We estimate a monthly mean September sea - ice extent of 5.67 ± 0.40 million km2 (without assimilation of sea - ice / ocean observations).

The mean of the sample of realizations is an unbiased estimate of the mean of the population of possible realizations of the model.

But more to the point, the decade estimate would mean that we would expect some significant reassessment of the models after THIS YEAR, 2008!!

The GRACE estimates for Antarctica used in that study were not our own and were based on a mean of W12a and an alternative new GIA model.

By comparing modelled and observed changes in such indices, which include the global mean surface temperature, the land - ocean temperature contrast, the temperature contrast between the NH and SH, the mean magnitude of the annual cycle in temperature over land and the mean meridional temperature gradient in the NH mid-latitudes, Braganza et al. (2004) estimate that anthropogenic forcing accounts for almost all of the warming observed between 1946 and 1995 whereas warming between 1896 and 1945 is explained by a combination of anthropogenic and natural forcing and internal variability.

They are left with 0.7 mm / yr of their observed 1.8 mm / yr budget unexplained (clearly this means they don't say anything like «half ice half warming»), which they suggest could be partially closed by terrestrial storage changes though that would be beyond the range of their forward modelling estimates.

While the resulting ECS as predicted by the models will still be within the previously estimated range, it appears that the mean ECS estimate will now be closer to the lower end of this range.

It is that, in all likelihood, the model - based mean ECS estimate of 3.2 C, as used by IPCC in the past, is exaggerated by a factor of 2 (to 1.6 - 1.7 C instead).

Since it is impossible to know which elements, if any, of these models are correct, we used an average of all 13 scenarios to approximate growth rates for the various energy types as a means to estimate trends to 2040 indicative of hypothetical 2oC pathways.

While the models get the warming just about right for the current concentrations of CO2, the fact that they tend to have lower estimates of historical emissions means that the carbon budgets based on the relationship between cumulative CO2 emissions and warming tend to be on the low side.

«When initialized with states close to the observations, models «drift» towards their imperfect climatology (an estimate of the mean climate), leading to biases in the simulations that depend on the forecast time.

All calculations (i.e. here or here) using the regression method - observed GMST vs. the total forcings - come to TCR estimates which are well below the mean of the CMIP5 models of 1.8 K / doubling CO2.

Recall that my comment was meant to point out that one can estimate a sensitivity of temperature to CO2 without recourse to models.

We estimate the low - frequency internal variability of Northern Hemisphere (NH) mean temperature using observed temperature variations, which include both forced and internal variability components, and several alternative model simulations of the (natural + anthropogenic) forced component alone.

An ensemble of 24 forecasts were made to provide estimates of mean and model variability.

Based on our assumptions of observational values, we conclude the AR4 model - mean or — best estimate ‖ of the SR (1.38 ± 0.08) is significantly different from the SRs determined by observations as described above.

Then we add / subtract this scaled interannual regression map to / from the anthropogenically - forced component of the trend over the next 30 years, the latter estimated from the ensemble - mean of the CESM - LE (Fig. 8) or the ensemble - mean of the 38 CMIP5 models (Fig. 9).

and later: «With the exception of one SR case (RSS TLT) out of 18, none of the directly - measured observational datasets is consistent with the — best estimate ‖ of the IPCC AR4 [12] model - mean.

This indicates that internal variability will dominate over the forced response for NAO trends over the next 30 years, regardless of whether the forced response is estimated from the ensemble - mean of the CESM - LE or the CMIP5 models.

Kauker et al (Alfred Wegener Institute [AWI], Ocean Atmosphere Systems [OASys]-RRB-, 3.95 (± 0.39), Modeling We estimate a monthly mean September sea - ice extent of 3.95 ± 0.39 million km2.

Hamilton, 4.2 (± 1.0), Statistical (Same as July) A Gompertz (asymmetric S curve) model estimated by iterative least squares, looking one year ahead, suggests a mean September 2015 ice extent of 4.2 million km2.

The IPCC gets its 2 - 4.5 C climate sensitivity range from Table 8.2 of the AR4, which lists 19 climate model - derived equilibrium sensitivity estimates that have a mean of 3.2 C and a standard deviation of 0.7 C.

«Absrtact: Wentz et al. (Reports, 13 July 2007, p. 233) present a satellite estimate of global - mean rainfall that increases with global warming faster than predicted by climate models.

Because Schwartz's model is simpler it is easier to account for and quantify the uncertainty in it (in fact much of the uncertainty in complex GCMs is hidden eg see Stainford et al referenced in the post), so if you take the view that you are interested not just in the mean but the variation in the estimate Schwartz's model, despite being simpler, gives you better information.

The CMIP3 models show a 1979 — 2010 tropical SST trend of 0.19 °C per decade in the multi-model mean, much larger than the various observational trend estimates ranging from 0.10 °C to 0.14 °C per decade (including the 95 % confidence interval, (Fu et al., 2011)-RRB-.

An estimate of the forced response in global mean surface temperature, from simulations of the 20th century with a global climate model, GFDL's CM2.1, (red) and the fit to this evolution with the simplest one - box model (black), for two different relaxation times.

An independent estimate of global - mean evaporation provides additional support, but critical assumptions on relative humidity and the air - sea temperature difference changes are made that do not have adequate observational basis and are inconsistent with climate models.»

Where not available, and in the case of the «NAT» simulations, the mean for the 1996 to 2005 decade was estimated using model output from 1996 to the end of the available runs.

The effects of this uneven sampling are being investigated and quantified in several ways, for example by estimating «true» global - mean temperatures from the complete fields generated by satellite observations, blends of satellite and in situ data, or climate models, and then sampling these fields using the actual (incomplete) observed data coverage (see chapter 9).

All of these characteristics (except for the ocean temperature) have been used in SAR and TAR IPCC (Houghton et al. 1996; 2001) reports for model - data inter-comparison: we considered as tolerable the following intervals for the annual means of the following climate characteristics which encompass corresponding empirical estimates: global SAT 13.1 — 14.1 °C (Jones et al. 1999); area of sea ice in the Northern Hemisphere 6 — 14 mil km2 and in the Southern Hemisphere 6 — 18 mil km2 (Cavalieri et al. 2003); total precipitation rate 2.45 — 3.05 mm / day (Legates 1995); maximum Atlantic northward heat transport 0.5 — 1.5 PW (Ganachaud and Wunsch 2003); maximum of North Atlantic meridional overturning stream function 15 — 25 Sv (Talley et al. 2003), volume averaged ocean temperature 3 — 5 °C (Levitus 1982).