Sentences with phrase «subsets of the data in»

Regardless of your position on the reliability of our adjustments it is clear that combining these two independent subsets of the data in time - varying proportions without adjustment — as happens in the ICOADS data base — will lead to variability in the global SST series that is not climatic in origin.
(4:28) So in the southwest...» In effect she said (I paraphrase) «(She) has to find anecdotal subsets of the data in order to fit (her) preconceived beliefs.»

Not exact matches

In the past, they used to glean intelligence from a relatively small subset of data overseen by specialists who were the only ones who could access and interpret the information.
Some of the kinds of transactions that Bitcoin can support include so - called M of N transactions, which require agreement between a certain subset of a group, and can be used for escrow, mediation, or shared financial management; time - locked transactions, in which bitcoins are distributed on a strict schedule, useful for trusts or wills; and even data - conditional transactions, in which a script uses a data input such as a regular Google search to monitor real - world events that would automatically trigger disbursements or other actions.
In any case, based on this subset of data, there is evidence that, as the influence of female investors in partnerships expands, there is likely to be a benefit for female founderIn any case, based on this subset of data, there is evidence that, as the influence of female investors in partnerships expands, there is likely to be a benefit for female founderin partnerships expands, there is likely to be a benefit for female founders.
The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.
The data was acquired and processed by Cambridge University professor Aleksandr Kogan whose personality quiz app, running on Facebook's platform in 2014, was able to harvest personal data on tens of millions of users (a subset of which Kogan turned into psychological profiles for CA to use for targeting political messaging at US voters).
With access to the raw data, you can view the results, and even filter them to see how a subset of companies in your country or industry answered.
She doesn't publish her analysis in peer reviewed journals, so what she says doesn't count» Well, here you have it, somebody who took the cdc data and published a subset of it in a peer reviewed journal, and what does it say?
A better one would be to manually classify a subset of speeches (or in this case, individual paragraphs) as negative or positive, fit a model to this data, and subsequently apply the «trained» model to other data.
«Almost all of the data included in the Equifax breach could be used maliciously, yet the law only protects consumers for leaks of a narrow subset of private data.
In this chart showing a subset of the data on how long primates sleep, humans stand out as snoozing the fewest hours daily, on average.
Any results that are reported to constitute a blinded, independent validation of a statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being tested
Next, two additional teams (one led by Yohai Kaspi of the Weizmann Institute of Science in Israel, the other by Tristan Guillot of the Côte d'Azur Observatory in France) delved deeper into complementary subsets of the data.
For the intron tree, some lower - resolution branches had local shifts, but they matched those found in the second WGT or the 25 to 75 % data subsets of the TENT; an exception was Phaethontimorphae, which moved from being sister to core waterbirds with 70 % BS in the TENT (but 100 % BS in the WGTs) to sister to core landbirds with 86 % BS in the intron tree.
These differences are not merely due to shorter alignments of the exon and UCE sequences, because each accounted for ~ 25 % of the TENT data, similar in sequence length to the random 25 % subset of the TENT with introns (table S3) that produced a tree with a higher average BS and a topology closer to the full TENT (Fig. 5A and fig.
The researchers compared their data to data collected from a healthy subset of people who participated in the American Gut project dataset.
The Berkeley researchers developed their own statistical methods so that they could use data from virtually all of the temperature stations on land — some 39,000 in all — whereas the other research groups relied on subsets of data from several thousand sites to build their records.
Taken together, the data suggest that humans domesticated dogs in Asia more than 14,000 years ago, and that a small subset of these animals eventually migrated west through Eurasia, probably with people.
Machine - learning systems — and a subset, deep - learning systems, which simulate complex neural networks in the human brain — derive their own rules after combing through large amounts of data.
In the second broad task, the researchers created an adjustable matrix that accepts the analysis of the subset and assigns «weights» to each data point reflecting the likelihood that it belongs to different groups.
In particular, one of the platforms used in their work, the Illumina 610 - Quad array, has been shown in unpublished studies by other investigators to produce artifactual genotype data at a subset of SNPIn particular, one of the platforms used in their work, the Illumina 610 - Quad array, has been shown in unpublished studies by other investigators to produce artifactual genotype data at a subset of SNPin their work, the Illumina 610 - Quad array, has been shown in unpublished studies by other investigators to produce artifactual genotype data at a subset of SNPin unpublished studies by other investigators to produce artifactual genotype data at a subset of SNPs.
For example, if I'm studying lymphoma, and I know that a subset of Asian breeds shares a common lineage, I could group data from those breeds together, rather than considering them separately, in order to gain more statistical power,» she said.
Although similar numbers of total splenic gp33 - LCMV — specific T cells were observed between genotypes (Fig. 5B), the distribution of gp33 - LCMV — specific CD8 + T cell effector and memory subsets were altered, such that there was a significantly lower percentage of short - term effector T cells and reciprocal changes in memory precursor cells among gp33 - specifc CD8 + T cells in WT relative to DKO mice (Fig. 5C), with a trend in changes in absolute cell numbers, consistent with temporal data from peripheral blood (Fig. 5A).
Immunologic checkpoint blockade with anti — cytotoxic T - lymphocyte — associated antigen 4 (CTLA - 4) or anti — programmed death 1 (PD - 1) / programmed death ligand 1 (PD - L1) agents seems to have some degree of clinical efficacy in advanced mucosal melanoma, although data are limited to smaller retrospective series or subset analyses of prospective trials.
Annual fire weather season length anomaly maps for a subset of known severe fire years are presented in Fig. 4 and anomalies for all years are presented in Supplementary Figs 1 — 4 and annual ensemble - mean anomaly data are available as Supplementary Datdata are available as Supplementary DataData 1.
The data used in our analysis represent a subset of the subjects used by Zuo et al. [27] and show that modular organization is very similar to theirs.
Research that provides human data and does the following is assigned the highest priority: â $ cents Evaluate the protective effect of fiber against colon cancer in subsets of the population by applying genotyping and phenotyping to those par - ticipating in fiber and colon cancer trials.
The NEPC report presents information comparing the finances of a subset of K12 - operated schools with other schools in the same states, but it is hard to interpret the spending data without good information on the performance of K12 schools.
For the subset of teachers who can be linked to student - level data, we consider the characteristics of the students whose teachers received a layoff notice under the actual system and in our simulation.
Among the subset of students for whom data are available, we find that transfers made possible by the school - choice program overwhelmingly improve integration in the public schools that students leave (the sending schools), bringing the racial composition of the schools closer to that of the broader communities in which they are located.
With passage of the Local Control Funding Formula, California became the first state to require schools to consider how best to serve a small subset of at - risk students: youth in foster care.According to 2016 California Department of Education data, in English language arts, 56.2 percent of foster students did not meet standards on the Smarter Balanced tests (compared to 30.5 percent of non-foster students) and for mathematics, 64 percent of foster students did not meet standards (compared to 37.3 percent of non-foster students).
Our data provide a unique opportunity to test this hypothesis because a subset of the sample was tested both in the spring of kindergarten and early in the fall of 1st grade.
On any given day, based on the data, teachers may gather an entire grade or a subset of students, sometimes in groups as small as one or two.
We obtained qualitative data in a subset of 36 schools in 18 districts, randomly selected from the larger pool of 43 districts.
We focused on a subset of PTAs in Montgomery and Anne Arundel counties for which we had complete data over three recent FYs — 2012, 2013, and 2014.
In addition, a limited subset of data from DIN SAR is available as a PDF file on the FAA.Gov public website.
He writes: «the data of landfalling hurricanes in the U.S. is less than a tenth of a percent of the data for global hurricanes over their whole lifetimes», and shows that from such a small subset of data and given the amount of natural variability, there is no way you would be able to detect a trend by now.
Also note what he says about data that «exhibits a trend in part of its range,» which is precisely what we see the troposphere graph: «In the latter case it would be sensible to separate the time series into a number of subsets, each of which could be modeled separately.&raquin part of its range,» which is precisely what we see the troposphere graph: «In the latter case it would be sensible to separate the time series into a number of subsets, each of which could be modeled separately.&raquIn the latter case it would be sensible to separate the time series into a number of subsets, each of which could be modeled separately.»
The best studies tend to test the robustness of their conclusions by dropping various subsets of data or by excluding whole classes of data (such as tree - rings) in order to see what difference they make so you won't generally find that too much rides on any one proxy record (despite what you might read elsewhere).
The data as used in the H&S 2002 paper seems to be a different subset of the total data gathered than the data used by Briffa (the numbers of cores used at any one time is significantly different — Briffa uses more which I would regard as a good thing).
Those uncertainties are based on issues of interpolation, homogenization (for non-climatic changes in location / measurements) etc. and have been evaluated multiple ways — including totally independent homogenization schemes, non-overlapping data subsets etc..
Written by a NOAA National Climatic Data Center scientist, it examined only a small subset of stations — all that had their siting checked at that time — and found no bias in long - term trends.
In this post, I divide the globe (60S - 60N) into two subsets and remove the linear effects of ENSO and volcanic eruptions from GISS Land - Ocean Temperature Index data since 1982.
That could add up: an earlier LA Times investigation (h / t DeSmogBlog), based on data from Friends of the Earth, counted up at least 12 billion tonnes of carbon dioxide from just a subset of the projects the two funded in 1993 - 2006.
A large subset of this data is available from PSD in its original 4 times daily format and as daily averages.
In describing their findings, Do et al. report that across all three subsets of data, «more stations showed statistically significant decreasing trends [in streamflow] than statistically significant increasing trends,» which finding held regardless of whether the stations were filtered by the presence of dams or changes in forest coveIn describing their findings, Do et al. report that across all three subsets of data, «more stations showed statistically significant decreasing trends [in streamflow] than statistically significant increasing trends,» which finding held regardless of whether the stations were filtered by the presence of dams or changes in forest covein streamflow] than statistically significant increasing trends,» which finding held regardless of whether the stations were filtered by the presence of dams or changes in forest covein forest cover.
My understanding is that this data series is a subset of the ones you refer to, which in turn were cited by the IPCC as a proxy for NH temps, just as I pointed out.
It's one that is not obviously determinable from comparing subsets of data with one difference in their properties.
Could someone with no background in science program a computer to take the satellite and terrestrial data from five sources in different formats, import them, display very clear graphs from each or all or any subset of them and write a subroutine to calculate the least - squares linear - regression trends and the determination coefficients?
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