Sentences with phrase «estimated mean standard»

Not exact matches

That means that the Semi, under our estimates, is roughly two tons heavier than would be a standard day cab big truck in the Class 8 category.

While about 30 % of Americans in 2017 and earlier tax years itemized their deductions, it is estimated that the new standard deduction structure will mean that itemizing will only remain worthwhile for about 5 % of taxpayers.

The estimated mean retail price of a 4 - litre cask of wine containing 36 standard drinks would increase by 190 % to $ 36.00, and the estimated mean retail price of a 750 ml bottle of fortified wine containing 11 standard drinks would increase by 58 % to $ 12.53.

The authors conducted a systematic review of published studies from which estimates of a mean difference (standard error) in blood pressure between breastfed and bottle - fed subjects could be derived.

Point estimates of population parameters (e.g., mean, correlation coefficient, slope) or comparative measures (e.g., mean difference, odds ratio, hazard ratio) should be accompanied by a measure of uncertainty such as a standard error or a confidence interval.

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

«The mean provides estimates for how many bushels the firm can expect on average, while the standard deviation captures the expected variability in the growth process,» said Bansal, who worked with Genaro J. Gutierrez, associate professor of information, risk, and operations management at the University of Texas at Austin, and John R. Keiser, of Dow AgroSciences.

These algorithms use indirect respirometry data as their standard.15 This means that researchers measure a bunch of people's energy needs by analyzing the combination of gases expired in their breath, and then make formulas that account for different variables like gender, body mass, and body composition to help you estimate your calorie needs.

The SEM can be estimated from the means and standard deviations and the ICCs provided in the studies that have assessed the reliability.

The MD can be estimated from the means and standard deviations and the ICCs provided in the studies that have assessed the reliability.

The MD can be estimated from the means and standard deviations and the ICCs provided in the studies that have assessed test - re-test reliability.

objectives include: Year 6 objectives • solve problems involving the calculation and conversion of units of measure, using decimal notation up to 3 decimal places where appropriate • use, read, write and convert between standard units, converting measurements of length, mass, volume and time from a smaller unit of measure to a larger unit, and vice versa, using decimal notation to up to 3 decimal places • convert between miles and kilometres • recognise that shapes with the same areas can have different perimeters and vice versa • recognise when it is possible to use formulae for area and volume of shapes • calculate the area of parallelograms and triangles • calculate, estimate and compare volume of cubes and cuboids using standard units, including cubic centimetres (cm ³) and cubic metres (m ³), and extending to other units [for example, mm ³ and km ³] • express missing number problems algebraically • find pairs of numbers that satisfy an equation with 2 unknowns • enumerate possibilities of combinations of 2 variables • draw 2 - D shapes using given dimensions and angles • recognise, describe and build simple 3 - D shapes, including making nets • compare and classify geometric shapes based on their properties and sizes and find unknown angles in any triangles, quadrilaterals, and regular polygons • illustrate and name parts of circles, including radius, diameter and circumference and know that the diameter is twice the radius • recognise angles where they meet at a point, are on a straight line, or are vertically opposite, and find missing angles • describe positions on the full coordinate grid (all 4 quadrants) • draw and translate simple shapes on the coordinate plane, and reflect them in the axes • interpret and construct pie charts and line graphs and use these to solve problems • calculate and interpret the mean as an average • read, write, order and compare numbers up to 10,000,000 and determine the value of each digit • round any whole number to a required degree of accuracy and more!

After two years of enrollment, LSP scholarship users scored 0.18 standard deviations (roughly six months of learning) lower than the control group in English Language Arts (ELA), but this point estimate was not statistically significant, meaning that we can not rule out no effect or a positive effect;

Gain estimates, each representing the posterior mean ± twice the mean of the posterior distribution of the standard deviation, relative to the estimated pre-test average, are displayed in the left panel.

University of Wisconsin - Madison professor Peter Goff estimates that Wisconsin schools spend between $ 4,000 and $ 9,000 to hire a teacher.57 And increased vacancies mean that districts may have to lower their standards in order to fill teaching slots.

(Estimates of the mean are always less certain than estimates of standard deEstimates of the mean are always less certain than estimates of standard deestimates of standard deviation.)

The weights on squared deviations from the mean (for the standard deviation computation) follow an exponential decay process with a half - life of 5 years, so that the most recent data point has twice the weight in the volatility estimate as 5 years ago, which has twice the weight as 10 years ago, and so on.

The top ingredient in the standard Nutro adult food brands is meat which means it is high in protein 22 %, however, the food is still high in carbs, I would estimate around 45 %, which would not be classed as totally «natural» for a canine.

The standard usage attributes physical meaning to the feedbacks which may be incompatible with the one implied here i.e. a sum of unspecified fudge terms to be added (or subtracted from) the estimated warming.

For example, 1) one can do a «traditional» comparison whereby one compares means, standard deviations etc with satellite based estimates.

Re 80: Barton — by all means if you know the standard deviation, but how do we know the standard deviation unless we estimate it from data.

««Removing the annual emissions traced to 90 major carbon producers from the best estimate full historical forcing case shows that the combustion of their products from 1880 to 2010 led to a 0.4 (± 0.01) °C increase in [global mean standard temperature]...» This claim is absolutely bogus.

And if you judge MRES by other criteria than variance or standard deviation, e.g. getting an interesting shape, then you are still within the realm of estimation theory (you're estimating the parameters that give you your interesting shape) but no longer in that of minimum mean squared error.

With OLS and using the mean observations as predictor, the estimated mean ECS is 3.68 K, standard deviation 0.58 K.

The standard deviation across the ensemble mean ice extents is an estimate of the uncertainty of our projection given we do not know the atmospheric conditions that will occur this summer.

Choi and Fisher (2003) estimated the expected change in flood damages for selected USA regions under two climate - change scenarios in which mean annual precipitation increased by 13.5 % and 21.5 %, respectively, with the standard deviation of annual precipitation either remaining unchanged or increasing proportionally.

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.

Well, we have to combine the two sets of estimates in AR4 Table 8.2, which gives us 38 estimates with a mean of 2.5 C and a standard deviation of 0.9 C, and 95 % confidence limits of 0.7 C and 4.3 C.

«For this reason, I remain concerned about the following statement from the Summary for Policymakers from the report: «the incomplete estimates of global annual economic losses for additional temperature increases of ~ 2 °C are between 0.2 and 2 % of income (± 1 standard deviation around the mean)».

After 10000 rolls the uncertainty in the estimate of the mean will 100 times smaller than the standard deviation of a single die roll, far below the single digit resolution of the die faces.

The very high significance levels of model — observation discrepancies in LT and MT trends that were obtained in some studies (e.g., Douglass et al., 2008; McKitrick et al., 2010) thus arose to a substantial degree from using the standard error of the model ensemble mean as a measure of uncertainty, instead of the ensemble standard deviation or some other appropriate measure for uncertainty arising from internal climate variability... Nevertheless, almost all model ensemble members show a warming trend in both LT and MT larger than observational estimates (McKitrick et al., 2010; Po - Chedley and Fu, 2012; Santer et al., 2013).

But the error added between TA (May 2013) and TA (May 2012) come from the same estimate of the mean, so the mean standard error is NOT random between years for the same month, but is likely random between stations.

BEST has released gridded data, and I'm more interested in it at the moment On that subject, is there any uncertainty information, such as mean standard error of the estimates associated with the grid points?

Having said that, Jone's grid cell methodology of estimating mean temperatures would, under JORC standards, make BrEx pale into insignificance.

The grey bar gives an estimate of statistical error, according to a standard formula for error in the estimate of the mean of a time series (in this case the observed time series of Δαs / ΔTs) given the time series» length and variance.

Figure 3.2: b) Observation - based estimates of annual five - year running mean global mean mid-depth (700 — 2000 m) ocean heat content in ZJ (Levitus et al., 2012) and the deep (2000 — 6000 m) global ocean heat content trend from 1992 — 2005 (Purkey and Johnson, 2010), both with one standard error uncertainties shaded (see legend).

These range from simple averaging of regional data and scaling of the resulting series so that its mean and standard deviation match those of the observed record over some period of overlap (Jones et al., 1998; Crowley and Lowery, 2000), to complex climate field reconstruction, where large - scale modes of spatial climate variability are linked to patterns of variability in the proxy network via a multivariate transfer function that explicitly provides estimates of the spatio - temporal changes in past temperatures, and from which large - scale average temperature changes are derived by averaging the climate estimates across the required region (Mann et al., 1998; Rutherford et al., 2003, 2005).

However, it appears that the constrained best - estimate for ECS that Zhai et al. derive is simply the unweighted mean and standard deviation of ECS values for the seven models having seasonal variability derived relationships of low cloud extent with SST that are consistent with their observational estimate.

But when I compute a mean as my estimate and a standard deviation as its uncertainty, I'm assuming that each model is producing independent data, and I'm relying on the expectation that their errors will cancel each other out.

If you know the standard - errors of the various data - point (i.e. global mean temperature) estimates, we can check if it's statistically significant via a difference in means test, while accounting for correlation in estimator distributions (it should be, unless NASA can't measure at all, which I sincerely doubt).

Relative to 2 × CO2 equilibrium run estimates from an earlier group of models, both the mean SAF and the standard deviation are reduced.

I created Standard Construction Cost Estimating Template and Bid Normalization spread sheets using RS Means.

Post hoc analysis revealed two significant differences in between - group comparisons: patients with schizophrenia versus healthy controls (estimated mean ± standard error; 30.05 ± 1.95 vs. 38.57 ± 2.22, corrected p = 0.040) and patients with bipolar disorder versus healthy controls (28.80 ± 1.78 vs. 38.57 ± 2.22, corrected p = 0.006)(Fig. 1).

Estimated marginal mean caregiving levels and standard errors for each attachment style appear in Table 2.

We estimated variances, means, and standard deviations of the four items of the scale in order to examine item quality and probability of dysfunctional items or polarization.

An effect size refers to the difference in mean scores between 2 populations (eg, children referred with ADHD vs nonreferred children) divided by an estimate of the individual standard deviation.

A random - effect meta - analysis estimated pooled standard mean difference (SMD) for SD interventions on measures of externalising child behaviour.

PPD postpartum depression, EM estimated mean, SE standard error, MR mother - rated, TR teacher - rated, * p <.05; ** p <.01 (two - tailed)

With this test, the probabilistic nature of class membership is taken into account, leading to more unbiased mean estimates and their standard errors.