Sentences with phrase «measurement error from»

When the inter-methodological (+ / --RRB- 2 C noted by Bemis, et al., is added as the rms to the average (+ / --RRB- 1.25 C measurement error from the work of McCrae 1950 and Bemis 1998, the combined 1 - sigma error in determined T = (+ / --RRB- sqrt (1.25 ^ 2 +2 ^ 2) = (+ / --RRB- 2.4 C.

For comparison, and to distinguish measurement error from true differences in teacher effectiveness, the authors ran similar correlations with randomly separated groups of students.

Future research could better separate measurement error from true differences; more systematically compare estimates across model specifications; identify clear dimensions of time, topic, and student populations; and provide evidence on the sources of instability.

They found a trend of measurement errors from the Bacharach Hi - Flow Sampler (BHFS), an equipment extensively utilized in natural gas facilities.

In an article from November 5, 2008, Josh Willis states that the world ocean actually has been warming since 2003 after removing Argo measurement errors from the data and adjusting the measured temperatures with a computer model his team developed.

Not exact matches

I wanted to let you know there were a couple of errors in the measurements for the Kale and Quinoa Salad because mom wrote the recipe from memory...

Margin of error is a measurement of uncertainty that results from sampling.

«I can see that we wouldn't be able to distinguish a few millimetres here and there from measurement error,» says Wikelski.

Gaia will also help pinpoint the orbit of Pluto, eventually bringing down errors in its measurement from 2000 kilometres to around 50 kilometres.

A measurement from a fourth satellite helps compensate for potential errors.

The moon is too small for its core to have grown hot enough to churn and create a magnetic field, so researchers have attributed the magnetism to everything from asteroid impacts to measurement errors.

By aiming at the atoms from opposite directions simultaneously, the laser arrangement cancels a major source of measurement error — the Doppler shift, or the change in the atoms» apparent resonant frequency as they interact and move with the laser light.

Even where measurement error and the Flynn effect are not invoked, a court may have to make sense of a confusing array of results from different tests.

But as any undergraduate studying computing discovers, problems arise from converting analogue measurements to digital values: there is always a «quantisation» error.

Measurements on some 50 grains of zircon from the gneiss rocks found in Canada showed them to be 3.962 billion years old, with a margin of error of only three million years.

Error bars are 95 confidence intervals on measurements from regression of transition probability versus number of contacts of a certain type.

Because the signals arriving at a receiver from all satellites are measured at the same time, the distance measurements are all falsified by the same receiver clock error, which must be calculated in order to determine an accurate position.

While there remain disparities among different tropospheric temperature trends estimated from satellite Microwave Sounding Unit (MSU and advanced MSU) measurements since 1979, and all likely still contain residual errors, estimates have been substantially improved (and data set differences reduced) through adjustments for issues of changing satellites, orbit decay and drift in local crossing time (i.e., diurnal cycle effects).

Astronomer Chris Flynn, from the Swinburne University of Technology in Melbourne, Australia, ran his own calculations and suspects the other astronomers had an error in their measurement or analysis.

The measurement errors on the two tests, taken months apart from each other, are unlikely to be related (after all, these are random influences).

Using real data from South African children to illustrate rounding errors in measurement.

We can think of value - added estimates as measuring three components: (1) true teaching effectiveness that persists across years; (2) true effectiveness that varies from year to year; and (3) measurement error.

While numerous papers have highlighted this imprecision, most studies of instability have not systematically considered the role of measurement error in estimates aside from the type that is caused by sampling error.

Accordingly, and also per the research, this is not getting much better in that, as per the authors of this article as well as many other scholars, (1) «the variance in value - added scores that can be attributed to teacher performance rarely exceeds 10 percent; (2) in many ways «gross» measurement errors that in many ways come, first, from the tests being used to calculate value - added; (3) the restricted ranges in teacher effectiveness scores also given these test scores and their limited stretch, and depth, and instructional insensitivity — this was also at the heart of a recent post whereas in what demonstrated that «the entire range from the 15th percentile of effectiveness to the 85th percentile of [teacher] effectiveness [using the EVAAS] cover [ed] approximately 3.5 raw score points [given the tests used to measure value - added];» (4) context or student, family, school, and community background effects that simply can not be controlled for, or factored out; (5) especially at the classroom / teacher level when students are not randomly assigned to classrooms (and teachers assigned to teach those classrooms)... although this will likely never happen for the sake of improving the sophistication and rigor of the value - added model over students» «best interests.»

As with the cases discussed above, the differences could come from variations in teachers» true value - added across student groups or from measurement error enhanced by the small sample size.

In 2000, a scoring error by NCS - Pearson (now Pearson Educational Measurement) led to 8,000 Minnesota students being told they failed a state math test when they did not, in fact, fail it (some of those students weren't able to graduate from high school on time).

Thus, scores for students with disabilities tend to have larger measurement errors; they deviate more from the students» true level of achievement than do the scores of other students.

The state might follow the recommendations of analysts and use tests from multiple subjects and control for measurement error in their value - added calculations.

From the intro, «An error by contractor SAS Institute Inc. forced the state to withdraw some key teacher performance measurements that it had posted online for teachers to review.

We estimate the overall extent of test measurement error and how this varies across students using the covariance structure of student test scores across grades in New York City from 1999 to 2007.

Curriculum - Based Measurement of Oral Reading: Standard Errors Associated With Progress Monitoring Outcomes From DIBELS, AIMSweb, and an Experimental Passage Set

Outliers that are not the result of measurement error are often excluded from analysis about a data set.

And since we don't have good ocean heat content data, nor any satellite observations, or any measurements of stratospheric temperatures to help distinguish potential errors in the forcing from internal variability, it is inevitable that there will be more uncertainty in the attribution for that period than for more recently.

Almost equal contribution from human forcings, natural forcings (mainly recovery from large volcanic eruptions from 1883 to 1912), oceanic cycles, and uncorrected SST measurement errors for this period.

Such results can be a real systematic effect, e.g., cooling by planted vegetation or the movement of a thermometer away from the urban center, or a random effect of unforced regional variability and measurement errors.

It is a little dangerous to project a trend from two points on a sine wave, especially when the measurements of the two points are subject to «error correction.»

The first simulates the true temperatures, the second treats the measurement errors that would arise from this series from three different sources of uncertainty: i) usual auto - regressive (AR)- type short range errors, ii) missing data, iii) the «scale reduction factor».

While there remain disparities among different tropospheric temperature trends estimated from satellite Microwave Sounding Unit (MSU and advanced MSU) measurements since 1979, and all likely still contain residual errors, estimates have been substantially improved (and data set differences reduced) through adjustments for issues of changing satellites, orbit decay and drift in local crossing time (i.e., diurnal cycle effects).

Generally, the remaining uncorrected effect from urban heat islands is now believed to be less than 0.1 C, and in some parts of the world it may be more than fully compensated for by other changes in measurement methods.4 Nevertheless, this remains an important source of uncertainty.The warming trend observed over the past century is too large to be easily dismissed as a consequence of measurement errors.

Converting from heat content to degrees C, the ocean warming over the last 30 years is less than 0.1 degrees C, which is probably well within the error bars or the Argo float's measurement ability.

Stealth - I would agree with Tom Curtis - claiming that the uncertainty of multiple measurements from almost 4000 ARGO floats is identical to the error of a single measurement is absurd, and anyone with science or engineering background (which you claim) should be well aware of this aspect of signal averaging, right along with the Central Limit Theorem.

Therefore the ratio of neither can follow from the anthropogenic fluence, it is smaller than the error in measurement.

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.

But the SEM is standard deviation of the results divided by the number of measurements... so your individual errors are indeed accounted for, whether they are random or are from other sources.

If there is any Climate Sensitivity to CO2, to date we have been unable to eek out the signal to CO2 induced warming from the noise of natural variation notwithstanding the use of our best and most sophisticated measuring devices and the inherent shortcomings of our measurement systems and error bounds.

This noise is either systemic (caused by measurement errors, etc) or aleatory which is contributions from everything else we don't yet fully comprehend, or can't because of the shear number of other paths.

... 2014 Won't Be Statistically Different from 2010 For a «record» temperature to be statistically significant, it has to rise above its level of measurement error, of which there are many for thermometers:... A couple hundredths of a degree warmer than a previous year (which 2014 will likely be) should be considered a «tie», not a record....

The mass balance determined from a density of 1 to 2 points / km2 (10 and 20 measurement sites) was significantly in error, unlike on Columbia Glacier this error is not consistently negative, overestimating mass balance in 1984 and underestimating mass balance in 1998 (Figure 6).

A measurement network of 1 point / km2 yielded an error of +0.15 m / a, ranging from -0.07 m / a to — 0.24 m / a.

The satellite has the best coverage and suffers least from UHI and errors in TOB homogenisation, station drop outs etc, and is verified independently against radiosonde temperature measurements, but it is only of short duration.