Sentences with phrase «large number of errors»

The large number of errors in such a short letter (227 words in four paragraphs) demonstrates that the former NASA employees do not understand climate disruption and no amount of fame, however well earned, can change that fact.

If you have a large number of errors, they will result in a lower credit score — so having them removed is the easiest way to repair your credit report.

If you have a complicated case or a large number of errors to dispute, you may see higher costs than if you only have a few items that need to be addressed.

However, there should be no fee for correcting problems that are due to the publisher or their outsourced book designer introducing a large number of errors, whatever the cost.

Not exact matches

«This is a very basic error regarding one of the primary allegations by [Muddy Waters], considering the large number of purported man - hours spent in the «investigation,»» he wrote.

As I point out in the video, his observations showed the masses of clusters were too large, but the numbers he got were far too high, and we now know they must have been in error (or, to be more fair, his uncertainties were too large).

«Gifted, determined, ambitious professionals have come into investment management in such large numbers during the past 30 years that it may no longer be feasible for any of them to profit from the errors of all the other sufficiently often and by sufficient magnitude to beat market averages.»

I'm not sure but I think that post may have been a joke given the name and the larger than average number of errors... not sure, but that was my guess.

Drug - delivery devices that flag nonsensical number entry could prevent a large fraction of hospital - based errors and perhaps deaths.

But to solve complex problems, a useful universal quantum computer will need a large number of qubits, possibly millions, because all types of qubits we know are fragile, and even tiny errors can be quickly amplified into wrong answers.

The large error bars on that number inject uncertainty into our projections of the effects of climate change — from changing storm patterns to sea level rise.

But at the same time, observed writer John Leo, a large number of Americans were «computerphobes» and «technopeasants» who feared computers were «designed to destroy privacy, eliminate jobs, carry the TV generation even further away from literacy, read little squiggles on cornflakes boxes so the grocer can cheat his customers more easily, and allow World War III to be launched entirely by technical error.»

I determined the position again allowing for a pessimistically large error, checked the latest numbers of IBVS (Information Bulletin of Variable Stars), but the result was the same.

A single, online system that manages all purchase orders, electronic and paper invoices, and supplier networks will streamline, speed up and increase visibility of past, present and future monthly and annual spend, while simultaneously reducing the number of errors by a large extent.

Usually these fake email scams are easier to spot, with the authors making large numbers of silly grammatical errors or giving a strong sense of urgency that you respond; this one is surprisingly better composed.

# 2) Error Coherence: When you combine a large number of those measurements to get an average answer, do all the errors «pile up» or do they tend to «cancel each other out» instead?

Two of the best ways to increase your credit score — fairly quickly — include having errors removed from your credit report, and paying off a past due balance, or a large number of smaller ones.

A larger number of consumers realize that credit reports aren't always accurate and need to be checked regularly for errors.

Also, there's a very large number of typos and errors in the text in this game, on the level of some of the less refined visual novels I've read, along with an inconsistent frame rate on my original - model PS4.

Recreation of the artist's studio The re?ned and stylish works of art that will be displayed in the exhibition are realized through a lengthy process of trial and error during which the artist creates a large number of drawings and models.

The ``... uneven spatial distribution, many missing data points, and a large number of non-climatic biases varying in time and space» all contribute inaccuracies to to the global temperature record — as do errors in orbital decay corrections, limb - corrections, diurnal corrections, and hot - target corrections, all of which rely on measurements (+ - inherent errors), in the satellite temperature records.

The article itself is just an update of the original article, minus an author (Baliunas), with a switch of Robinson children (Zachary's out, Noah is in), but with a large number of similar errors and language.

It is certainly true that a very small temperature bias that is not random from instrument to instrument, but instead is the same over a large number of profiles can create systematic error in global estimates of ocean heat content.

The mean average of all the linear trends is slightly positive (+1.0 mm / yr, with a standard error of 0.1 mm / yr), but there are a large number of gauges with substantially lower or higher trends.

Hence, it possible for a large number of measurements at different locations to result in a meaningful reduction in the level of error of a quantity, provided that the value of the quantity does not vary much across the sample space.

If we have inadequate sampling, and short time intervals, the statistical uncertainties from random fluctuations and random measurement errors can be large, but would tend to cancel out as the number of observations and length of time increases.

The PDF has been computed in the same way (apart from the reciprocal relationship) as the climate sensitivity PDF in Figure 2 in the original paper, using the same data and error distribution assumptions but with a larger number of random samples to improve accuracy.

The rules of statistics tell that independent errors of individual measurements cancel out, when the total number of measurements is large.

2) There are errors in the assumed forcings, such as: a) AR5 let stratospheric aerosol concentration go to zero after 2000 (a sure way to prod the models into higher predictions), but it actually increased for the next 10 years «probably due to a large number of small volcanic eruptions».

another way of asking is does having a larger number of data points automatically decrease the margin of error?

does having such a large number of points lessen the margin of error???? OR could the errors be compounding each other and making the margin of error much larger?

The detailed arguments in this paper, and, indeed, in a large number of other scientific papers, point up extensive errors, inclu...

After Tol studied the final version of Working Group 3's 4th Assessment Report he found a large number of what he regards as serious mistakes and errors.

If you have a larger number of measurements for the same point you would reduce error, like measuring «a» board.

We use them because unaided common sense tends to make errors, or have difficulty in processing large amounts of information, just as we use formal methods for doing arithmetic because guessing numbers by eye or counting on our fingers is error prone, and is anyway infeasible for large numbers.

If I told you a carbon tax could reduce emissions by 20 % by 2050 you would argue that it shouldn't be used because the margin of error in our forecasts by 2050 is so large that 20 % doesn't matter — or if I could find a medical treatment that reduced the number of people who die by 2050 by 20 %, this should not be tried because the margin of error in our population forecasts of 2050 are much larger that 20 %.

It follows from Forster & Gregory's method and error distribution assumption that the PDF of Y is symmetrical, and would be normal if a large number of observations existed.

The math behind the Law of Large Numbers goes back to Jacob Bernoulli in 1713, and is based on the statistics of measurements and random errors.

It is also overstated in that it treats a large number of ratings of «0» (= uncertain) as errors, which is not the case.

And I can not think there are any large number of stations where a 5 - 10 meter error over 100 meters would cause a class change in any significant number of stations.

The hope, of course, is that enough parameters are being used to do a decent job and that the large number of cells will let the errors wash out.

Therefore, by the law of large numbers, these errors will mostly cancel out as the number of observations gets large (in other words the average of the errors will be very close to zero).

Then we misapply the law of large numbers to say there is no way that many stations could all be wrong, and apply tiny error bars on populations that still have large unresolved systematic errors and biases.

The law of large numbers requires data sources to be free of bias, and the errors to be Gaussian in distribution.

You keep repeating, over and over, the mathematics of the law of large numbers — or rewording thereof, e.g. «the errors cancel out» — but you never demonstrate how the fundamental assumption of Gaussian distribution of errors is proven — you simply take as an article of faith it is.

Frequentists are comfortable dealing with PDFs that are computable from a large number of samples and estimates of error.

As to how fractions of a degree are measured, I would strongly suggest looking at the Central Limit Theorem and the reduction of errors and deviations with large sample numbers.

Even apart from the cherry picking issue, it is likely that these error bands do not take the spatial correlations into account, which, with the much larger number of proxies, are more severe than in Loehle and McC.

Human error accounts for a large number of car accidents on roadways these days, and motorcyclists are not immune.

This, coupled with the large number of people that work for an organisation as large as a bank, means that data could be lost simply from human error.