Sentences with phrase «significant errors in the data»

What I'm ready to say and what's more meaningful for me to comment is that I don't believe that anything essential is left hidden or that any significant errors in data based on instrumental records were left uncovered by the questionable actions.

Not exact matches

In addition, Fortune excludes companies that have announced intentions to restate previously reported financial data, if these errors appear to have a significant impact.
In fact, an error in the data later came to light and, once this had been corrected (published in an erratum in a later issue of the Journal), it became clear that there was actually no significant change in teenage pregnancy rateIn fact, an error in the data later came to light and, once this had been corrected (published in an erratum in a later issue of the Journal), it became clear that there was actually no significant change in teenage pregnancy ratein the data later came to light and, once this had been corrected (published in an erratum in a later issue of the Journal), it became clear that there was actually no significant change in teenage pregnancy ratein an erratum in a later issue of the Journal), it became clear that there was actually no significant change in teenage pregnancy ratein a later issue of the Journal), it became clear that there was actually no significant change in teenage pregnancy ratein teenage pregnancy rates.
A significant error in some published research on birth place is amalgamating data from unplanned home births (without skilled birth attendants) with data from planned births at home or in birth centres within integrated systems.
«Long propagation delays, Doppler effects due to vehicle and water movement, and the highly dynamic multipath nature of the undersea environment result in significant errors and outliers in received data measurements.
However, the fact that we find very «precise zeros» — that is, we don't find statistically significant relationships even though we have the statistical power in our data to detect even very modest relationships — implies that neither measurement error nor a lack of sufficient variation are what's driving our inability to detect a relationship between teaching and research quality.
Even though the Argo buoy data demonstrates a increase in SST's and require error correction for the pressure sensors I have not seen significant data suggesting that there is any heating at depth.
Is there evidence of significant error / uncertainty in the GRACE data?
«What is needed is that there are no major but unknown systematic changes in, how the data is collected... Independent errors cancel out well and their size can be estimated from the data, while systematic errors may remain a significant problem, whose size is difficult to estimate».
A significant reduction in the uncorrelated random error in the data has been proven for both regular temporal data and rapid - sample data.
Yet if this data has * no significant effect * on the Antarctic Warming conclusion then this error is not all that relevant as RC has suggested (unconvincingly so far in my view)
Previously reported discrepancies between the amount of warming near the surface and higher in the atmosphere have been used to challenge the reliability of climate models and the reality of human - induced global warming... This significant discrepancy no longer exists because errors in the satellite and radiosonde data have been identified and corrected.
A study about method of error correction that does not alter results in a statistically significant manner should / can not be used effectively to refute the confidence in the data as known and understood.
If no error in capturing the data, what possible real life situation would cause what appears as a significant statistical outlier.
John Christy, the scientist and interviewee on whose work this latter claim is based, seems to have forgotten that he had written in a US Climate Change Science Program report: «This significant discrepancy [between lower and upper atmosphere warming] no longer exists because errors in the satellite and radiosonde [weather balloon instrument] data have been identified and corrected.
However, detailed statistical analyses of the available satellite data (RSS, UMd, UAH) since 1979 and of radiosonde data (HadAT, RATPAC, RICH, and IUK) since about 1959 has revealed that there are significant errors and uncorrected biases in all datasets.
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).
Our legal software assists professionals in replacing the manual process of completing a transaction by providing an automated workflow that reduce the time it takes to complete a deal by eliminate repetitive data entry, in turn reducing the risk of error, and providing user significant time savings and efficiency.
PROFESSIONAL EXPERIENCE PRO MACH, Roswell, NM Dec 2012 — Present Payroll Clerk • Identify discrepancies in the payroll system before they could have a significant effect on the reporting systems • Introduce and implement a commissions system which decreased calculation time by 85 % • Collect and compile payroll data and ensure that it is complete and accurate • Punch in payroll information into the system using appropriate software • Review and verify the source of information to ensure accuracy • Investigate and correct discrepancies and errors and put into place systems to ensure that problems do not reoccur • Update payroll records by managing changes in insurance coverage and loan payments • Address employees» pay - related concerns and ensure that they are resolved by keeping within the parameters of company protocols • Develop and maintain comprehensive payroll records and ensure that all related information is kept confidential • Ascertain that compliance with federal and state regulations is constantly maintained • Audit payroll functions on a regular basis to ensure minimization of problems and discrepancies
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