Sentences with phrase «many changes in the data»

Whether it's a retrospective clean up or a change in data entry.
«Although the headline ranking figures show changes in the data year to year, the pattern of clustering among the schools is equally significant,» admits the FT in the footnote.
Dr Biggs said: «This study demonstrates what can be achieved with global satellite coverage even with limited acquisitions, so we are looking forward to the step - change in data quantity planned for the next generation of satellites.»
«We can see it with our eyes, and we also clearly see the progression of climate change in our data.
To obtain consistent changes over time, the main analysis is actually of anomalies (departures from the climatological mean at each site) as these are more robust to changes in data availability.
In keeping with changes in data provided by the DOE, this year's rankings include two new factors.
Either one — change in algorithm or change in data fed into algorithm — can impact your credit score.
In order to track changes in data over time, and to create backups, you should periodically download your Cat Stats» spreadsheet.
«I have a hard time thinking there's going to be a massive change in data due to the increased heightened sense of reality.»
The adjustments immediately after 1945 are expected to be as large as those made to the pre-war data (Fig. 4), and smaller adjustments are likely to be required in SSTs through at least the mid-1960s, by which time the observing fleet was relatively diverse and less susceptible to changes in the data supply from a single country of origin.
There's a scientific term for results which are so strong and so resistant to changes in data and methods: robust.
There are two very basic answers: First, looking at changes in data gets rid of biases at individual stations that don't change in time (such as station location), and second, for surface temperatures at least, the correlation scale for anomalies is much larger (100's km) than for absolute temperatures.
It would take me forever to explain this but basically it involves analysing the change in data from year to year (the data is differenced — to do the forecasts it must be integrated (I)-RRB- using a moving average (MA) term but no autoregressive (AR) term.
You can discuss hypotheticals all you want but the long term trends in the models are consistent with the changes in the data.
The steady drumbeat of potent twisters, which are easier to track, shows a declining trend, but that, too, the federal experts say, was likely the result of a change in data crunching, not a drop in actual tornado numbers.
This effectively creates a strawman for people trying to distract the discussion from the changes in the data.
Gavin disparaged my role in the matter, again attributing the precise diagnosis to NASA (though it was me who had spotted the change in data sets) and denying that I had had to do «reverse engineering» to figure out the problem — even though that was precisely what I had had to do (in the form of patient comparison of multiple versions of different data sets):
In my original notice to NASA, I pointed out the change in data provenance; they did not discover that themselves — so it was silly of Gavin Schmidt to mislead people on that point.
a GLOBAL WARMING «PAUSE» a couple years later, with no change in data there was 2.
The type of adjustment that could produce unequal R1 and R2 would be one where the changes in the data are made in a specific direction, e.g. those based on the metadata of the individual stations.
Most of the changes in data sources are unknown, because they were either undocumented, or the documentation is lost / unavailable.
As a result, directly comparing the Sea Surface Temperature data from the early 20th century to the current Sea Surface Temperature data is like «comparing apples and oranges» — there have been too many changes in the data sources for such comparisons to have much meaning.
Homogenization does not only removes break inhomogeneities (non-climatic changes in the data), but also gradual inhomogeneities.
A change in the data of a tenth of a degree here or there ultimately isn't going to change the story, because the story is not primarly about the data...
It's not very inspiring work, since the answer doesn't change [indeed; your method is peculiarly robust to changes in the data it supposedly represents], but i suppose it has to get done.
«Positive trends in the numbers of 945 hPa and 950 hPa TCs in the SIO are significant but appear to be influenced to some extent by changes in data quality.»
Even fundamental quantities such as the strength of the Hadley cell has changed over the years as a result of the changes in the data assimilation systems.»
It can be seen that the adjustment, which is deemed to result from the study of changes in data collection methods, is remarkably close in form to the variations in the original data itself.
Other more advanced frequency analysis techniques that tolerate such changes in the data structure, such as wavelet or entropy methods, may give more precise results.
«Calculation of the biases involves... ignoring detailed studies on the proportion and timing of changes in data sampling methods as well a speculation as to the magnitude of the various effects.»
The drop in temperatures in 1945 occurred at the same time as a whopping great big change in the data base.
As it had turned out that even large - scale features of the model are rather sensitive to changes in the data set, particularly for the earlier part the model, the final model was obtained as the average of 2000 models where data and ages were varied within their uncertainty estimates and bootstraps on the final data sets were performed (hence version number 1b).
The adjustments immediately after 1945 are expected to be as large as those made to the pre-war data (~ 0.3 °C), and smaller adjustments are likely to be required in SSTs through at least the mid-1960s, by which time the observing fleet was relatively diverse and less susceptible to changes in the data supply from a single country of origin.
The dramatic changes in data content between those eras (satellite, more frequent recon, etc.) make those comparisons difficult to do in any case, so that it's not at all clear what the best approach is.
After that, there were large changes in data collection, most notably recon flights starting in the mid-1940s.
Changes in data privacy rules, and data protection practices, will require more focus on electronically stored information.
One part is education, to help our lawyers understand law firm metrics; one part is data visualization, to help the lawyers understand the context and impact of changes in the data.
This will be the most significant change in data protection law in the last 20 years.
«This really is my dream job; not only am I defending clients in difficulty, but I am also advising on the new General Data Protection Regulation, which is a major change in the data protection field.
It is flexible and can adapt to changes in the data, metadata, business needs and the organization itself.
In less than five months, one of the biggest changes in data protection and privacy regulation will take effect — have you started your journey to GDPR Compliance?
Employee Change Monitor enables you to proactively take steps to mitigate risk associated with the change in any data field stored in your HR information system and shared with the Exterro Platform.
The EU calls GDPR «the most important change in data privacy regulation in 20 years.»
The way to regulate Facebook, however, isn't to lobby for a federal change in data privacy laws.
Please review this Privacy Policy periodically, as we may update it from time to time without prior notice to reflect changes in our data practices.
«Although changes in the Data Book prevent us from comparing this rank to previous years, the trend within many indicators, particularly those of economic well - being, show North Carolina children are losing important ground.»
National data in October reflects an adjustment in inventory of approximately 1 percent compared to previous months, reflecting an update in four southern California markets identified by realtor.com's enhanced auditing protocols and attributed to a system change in data collection earlier in the year.
These are wholesale changes in the data as compared to the last few years.
That way you protect yourself against future changes in data storage formats or computer connection ports (floppy disks and USB 1.0 ports already are history.)

Not exact matches

Median Salary: $ 68,640.00 Change in Salary (2008 — 2014): +25 % Total Employees: 7,200 Change in Employees (2008 — 2014): +20 % The explosion of big data and the
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