Sentences with phrase «error estimate given»

Not exact matches

«Our goal is to give the examiner a way to estimate the probability of this type of error so the jury can take that into account when deciding guilt or innocence.»

The 16 planetary candidates have estimated diameters within range of being super-Earths (1.26 to 2.0 times Earth's diameter), given error margins ranging from 25 to 35 percent due to the uncertainty in the size of their host star and of the «depth» of the observed transits (decrease in stellar luminosity) across the surface of the star.

There is less possibility of error with ambulatory readings, and they give more accurate blood pressure estimates and cardiovascular disease prognosis compared to conventional readings.

Perhaps the analysis should be weighted by the inverse of the standard error of the test score for each country, to give more weight to countries with more precise estimates?

[16] Given the margins of error on the 2016 ACS 5 - year estimates on kindergarten through grade 12 students enrolled in private schools, the percent of students enrolled in private school in D.C. is estimated to range from 15.0 percent to 16.8 percent.

Fallible estimates and standard errors notwithstanding, the «best estimate» of the true score (i.e., the true performance level for a given school) is the average, and thus averages are used to report school performance.

-- Before radiotracking cats we placed radiocollars at known locations to determine accuracy of directional bearings in estimating cat locations, giving an estimated bearing error of 12 ° (White and Garrott 1990).

The total variance in the data gives an upper limit to the errors, and using that upper limit we can compute a statistically reliable estimate of the significance of the trend.

I am especially interested in the mathematical details outlined in this sentence; «The total variance in the data gives an upper limit to the errors, and using that upper limit we can compute a statistically reliable estimate of the significance of the trend.»

The «true» error bars should be slightly larger given the uncertainty in the annual estimates themselves.

Many experts on China caution that most sources of data there should come with fat error bars, given past instances in which official estimates of activities ranging from coal extraction to fish catches proved to be way off.

Observational errors on any one annual mean temperature anomaly estimate are around 0.1 deg C, and the errors from the linear fits are given in the text.

Similarly, attribution of climate change to anthropogenic causes involves statistical analysis and the assessment of multiple lines of evidence to demonstrate, within a pre-specified margin of error, that the observed changes are (1) unlikely to be due entirely to natural internal climate variability; (2) consistent with estimated or modelled responses to the given combination of anthropogenic and natural forcing; and (3) not consistent with alternative, physically plausible explanations of recent climate change.

It is designed to estimate the reliability of a final result, given the impact of calculational and / or measurement errors in the calculational terms.

In the case of the 1988 Hansen et al. model, there didn't appear to be any usable estimate of the model's reliability — in other words, how likely is it, that given the proper input, the model gives results within a tolerable range of error.

A result should never be reported without giving reasonable error estimates.»

While it is true that there are a host of different things that make up any given individual error estimate at any single point, that does not free us from the constraint imposed by the number of measurements.

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.

For a Gaussian time series, the margin of error on a trend of length N t estimated by linear least - squares regression is a function of the magnitude of the interannual variability (given by the standard deviation σ), the lag - one autocorrelation and the trend length (Thompson et al. 2015).

Unfortunately, not all articles within a given field of science will contain statistical estimates required for meta - analysis (e.g., estimate of effect size, error, sample size).

Let us simplify the problem further and assume that the lab can estimate the RC age on a sample (given an assumed initial mass fraction) with negligible error, and then consider how we generate the probability distribution for calendar date even when we have no laboratory measurement error to take into account.

They give an equation to determine the probability of a temperature rise of ΔT, given an estimated feedback factor f and the error on its determination σ (f).

If you know the location, but have no measures at the location, the estimate that minimizes the error is given by the field value at that location.

Nic writes «Given Forster & Gregory's regression method and observational error assumptions, the error (and hence probability) distribution for the resulting slope coefficient estimate can be derived from frequentist statistical theory, as used in science for many years.»

Given Forster & Gregory's regression method and observational error assumptions, the error (and hence probability) distribution for the resulting slope coefficient estimate can be derived from frequentist statistical theory, as used in science for many years.

... The uncertainties given by RSOA due to data gaps and random errors (Figure 1a) were augmented using published estimates of global uncertainties associated with urbanization effects (e.g. Jones et al., 1990),... We assume that the global average LAT uncertainty increased from zero in 1900 to 0.1 °C in 1990 (Jones et al, 1990), a value we extrapolate to 0.12 °C in 2000 (Figure 1a).

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.

The early scientific reviews suggest a couple of reasons: firstly, that modelling the climate as an AR (1) process with a single timescale is an over-simplification; secondly, that a similar analysis in a GCM with a known sensitivity would likely give incorrect results, and finally, that his estimate of the error bars on his calculation are very optimistic.

Adding the relevant years» total uncertainty estimates for the HadCRUT4 21 - year smoothed decadal data (estimated 5 — 95 % ranges 0.17 °C and 0.126 °C), and very generously assuming the variance uncertainty scales inversely with the number of years averaged, gives an error standard deviation for the change in decadal temperature of 0.08 °C (all uncertainty errors are assumed to be normally distributed, and independent except where otherwise stated).

The estimate from satellite altimetry is also given, with the 90 % confidence given as an error bar.

We can probably estimate its magnitude with pretty narrow error bars, given that it is a straight chemical / physical process dependent in a simple way on substrate, temperature and so on.

Comment: Several commenters took issue with the «top - down» approach that we used to estimate costs for small businesses, believing that this methodology provided only a single point estimate, gave no indication of the variation around the estimate, and was subject to numerous methodological errors since the entities to which the numerator pertained may not have been Start Printed Page 82757the same as the denominator.

CALCULATING ESTIMATED RESIDENT POPULATION - FINAL Empirical Bayes method 9 Given the relatively high standard errors for net undercount by Indigenous status by state, the ABS used the Empirical Bayes estimation method to estimate more reliable undercount inputs for use in deriving population estimates.

Variation between the replicate estimates of Aboriginal and Torres Strait Islander life expectancy corresponding to replicate estimates from PES gave estimates of the sample error of life expectancy and the additional variation from deviations from the assumptions measured the sensitivity of the method to the assumptions.

The estimates are subject to errors that can not be comprehensively adjusted for within the population estimates compilation process, given the limited ability to estimate Census undercount by Indigenous status and other demographic characteristics.

[26][27][29][30] They give distribution - free expressions for direct and indirect effects and demonstrate that, despite the arbitrary nature of the error distributions and the functions f, g, and h, mediated effects can nevertheless be estimated from data using regression.