For MS, if selected the index of it's highest value (with index im) and tested whether ia and im equals (so calculating, how many times
the actual highest data was measured as such).
Not exact matches
Information security, identity, as well as privacy are perennial hot topics today, as the world is witnessing
high - profile cyber attacks and
actual atrocities that have focused businesses attention towards
data protection, encryption, and privacy as never before.
Our perspective is straightforward: on the basis of measures that have been reliably correlated with
actual subsequent market returns in market cycles across a century of
data, we estimate that the S&P 500 Index will be no
higher a decade from now than it is today.
Current performance may be
higher or lower than
actual data quoted.
But in more sophisticated
actual entities, in entities
higher up the scale of organic being which inherit positively a richer and more variegated set of
data from the past, the responsive, supplemental phase is a process of sorting out the
data, modifying and reorganizing it to arrive at a complex unity of subjective feeling.
Another critical
data to consider is the
actual crib deaths which are dramatically
higher than in parents» bed.
The
actual data is suggestive of a low risk of bad outcomes for homebirthers, but they are clearly at
higher risk than hospital birth!
The research, made possible by the availability of
high - resolution
data in space and time on veterinarian movements in the study area, shed light on the
actual significance of operator movements in disease spread, a still poorly understood topic due to the highly diverse and complex nature of such movements and to privacy issues in
data collection.
Breslow noted that her group had expected a
high prevalence rate, however, she emphasized that the
data referred to potential, not
actual, prevalence.
This «sub-grid inundation model» incorporates
high - resolution elevation
data collected with LIDAR, a mapping technique that uses airborne lasers to map the ground surface to within a few inches of its
actual height.
Summing up the «all detections» probabilities from Brown that are deeper than 0.23 % (corresponding to the lower limit to which this can be done from Brown's graph and the CoRoT sample can be considered almost complete), we derive an overall predicted detection rate of 0.34 %, whereas from CoRoT
data we obtain a 1.88 %
actual detection rate, or 5.5 times
higher than that of Brown.
However,
actual data from the Swedish National Diabetes Register showed that excess mortality was much
higher in females, younger than 55 years with advanced renal disease, than in men (324).
We have a variety of
data, both from
actual assemblies and simulation studies, which show that about 96 % of the reference human genome is addressable using this library and sequencing strategy, including a significant fraction of the
high - copy repeat sequences in the genome.
We conducted our analysis alternately using absolute student achievement, measured with statewide mean SAT scores for the 1989 — 90 school year and the mean
high - school dropout rate calculated from 1990 census
data, and with a second measure that represents the deviation of
actual achievement from expected student performance.
In reviewing the
actual enrollment
data for just remedial English, the authors applied a remedial rate of slightly more than 8 percent for two - year institutions to each institution's total enrollment for a multiplier of 0.0814; slightly more than 1 percent for four - year very
high research institutions for a multiplier of 0.0107; and almost 5 percent for other four - year institutions for a multiplier of 0.0471.
The CCA
data set provides
actual enrollment numbers in three mutually exclusive groups — remedial math, remedial English, and remedial math and English — for three types of public institutions — two - year, four - year «very
high research,» and other four - year institutions — for full and part - time students who are U.S. residents, as well as
actual remedial rates for these groups based on
actual enrollment.
Some of the
data about
actual library use was very positive, showing people's attitudes towards their public libraries — and therefore, the support for public libraries — at a steady
high:
Current performance may be
higher or lower than
actual data quoted.
To make the process more complicated, each vendor can choose to get EOD
data from another EOD
data provider or the exchange itself, or they can produce their own open,
high, low, close and volume from the
actual trade tick -
data, and these
data may come from any exchanges.
The only way to know for sure what you're getting is to optimize at the
actual asset level, using that exact mutual fund's return
data, because the optimizer will tend to choose the small - cap fund with the
highest beta.
«And an
actual breach of
data can lead to even
higher penalties.»
A game can tell with a very
high probability what will happen long before it actually happens, sends a request to some Titan powered cloud server, the server computes the
actual physics and sends back animation
data.
My only comment is that the rate they come up with (2.8 mm / yr) is on the
high end of most other studies and the
actual observed
data (nearer 2mm / yr).
I probably need the Complete Idiot's Guide, but what I get out of this is, using the mean of the whole
data set (if it does have an
actual hocky stick shape) as zero creates a
higher horizontal line from which all the
data vary in various amounts & it tends to «pull up» the negative differences & makes the positive differences look not so big (or it makes all the
data look on average equally large in distance from the mean, both in pos & neg directions), making the whole thing look like nothing much is happening, aside from cyclical changes.
Actually, even though the line may look synchronized, the «Conclusions» section of the linked PDF specifically explains that by selectively discarding the
data, the CRU made pre-1950's temperatures lower than
actual, and post-mid-1990's temperatures
higher than
actual - thus producing an intentional skewing of the trendline.
It shows the
actual fitted Callendar model «forecast» of temperature, using only CO2 forcings, compared directly against the low frequency content in the temperature
data after the zero - bias
high frequency content is removed.
Since this is 7Watts / m ^ 2
higher than the
actual measured average and is more than a full Watt / m ^ 2
higher than any value measured in the past 31 years, if one were to criticize someone for violating science protocol it would not be Roy Spencer whose basic
data and computations are readily available for scrutiny by anyone who whishes to do so; it is Trenberth for using contrived values for OLR in his energy balance computations instead of using
actual physical
data measured directly by satellites.
The crowd of government - financed alarmists artificially introduced this signal by excluding Canadian, Siberian,
high - altitude and other «inconvenient» measurements from
data sets, by various «adjustments» fitting the desired outcome, by placing meteorological stations on airport tarmacs, at air conditioners» exhausts and in other artificially heated places, and by blatantly omitting, negating, and even reversing (as in prof. Mann's case)
actual results.
If the
actual temperature as represented by mesurement A is just as likely to be too
high as too low then the
data is unbiased and we can average it with other measurements and, given enough such measurements we can even come up with averages of greater accuracy than the individual measurements (though that's tricky and requires further examination of what sort of unbiasness we're dealing with.)
Unadjusted, this make warming trend look
higher than
actual so NASA has adjusted
data to account for that which reduces the warming trend.
«[T] emperature records all over the world had, seemingly, been systematically «adjusted» to show older temperatures lower than those originally measured and more recent temperatures
higher than those recorded: thus conveying the notion that the world is warming significantly more than the
actual data justified.»
So, presumably, if they re-ran their predictions using
actual CO2
data, they would get even
higher temperature forecasts.
If the
actual data to be plotted does not show rapid and unprecedented warming in the late 20th century, then why would the statistical science of climate model prediction give us
high CO2 sensitivity and doomsday predictions for the middle / end of this century?
This may be totally off, since I know squat about climate science & the
high - powered statistical programs used, but when there is a dearth of
data in the social sciences (not enough to give low enough p values on correlations & regressions, simply due to small numbers of
data, which is sometimes due to loading in too many control variables), we sometimes turn to chi - square & log - linear analysis to see if
actual data reveal patterns incongruent with expected patterns.
The general class of paper can be described as «you can't ever show the GCM projections are too
high by using
actual data.»
Which brings me to the point that surely you can agree with Jennifer on: In general the public debate should involve a lot more looking at the
actual data (cf. business & economics reporting) than the «meta - debate» we so often see currently, and specifically that «ultimately, good policy is going to require that a much larger percentage of Australians have a
higher level of scientific literacy.»
You can see that their most likely values are consistently
higher than any of the historical studies from
actual data.
Tim Clark says: March 24, 2011 at 5:54 pm «No, I'm stating that there is no
actual data that indicates catastrophic consequences of modeled increases of temperatures in response to
higher levels of CO2 without unverified positive feedbacks.»
Professors of economics and law Frank Levy and Dana Remus studied a deep set of
actual, anonymized billing
data to understand what lawyers actually do all day, and whether those tasks have
high, medium, or low susceptibility to automation.
A firm's unique success profile is built through an analysis of performance
data (e.g., performance ratings, billable hours, realization rates) and the
actual behaviors (e.g., adaptable, innovative) of the
high - and low - performing lawyers, which can be uncovered through surveys, behavioral event interviews and skills assessments.
Although this level of unique records will be much
higher in the smaller geographic areas, the
actual risk of identification will be much lower because of the limited availability of comparable
data in publically available, identified databases, and will be further reduced by the low probability that someone will expend the resources to try to identify records when the chance of success is so small and uncertain.
This means that
actual risk of theft to each home owner might be somewhat
higher than it appears from this
data.
While quantitative evidence also showed more Indigenous Australians were registering for the PIP - IHI, having health assessments and obtaining subsidised prescription medications through a PBS Co-payment, it is not clear to what extent these
data reflect an
actual increase in access to
high - quality PHC services.