Not exact matches
The statement also notes that the increased quantification
of scientific research and a proliferation
of large, complex
data sets has expanded the scope for statistics and the
importance of appropriately chosen techniques, properly conducted analyses, and correct interpretation.
This is also the first adequately powered
data set to demonstrate the
importance of sex on physical activity levels in psychosis.
This work highlights the
importance of appropriate statistical analyses
of the large quantitative
data sets that are increasingly being produced by experimentalists and are being used to study fundamental cellular mechanisms.
The other side raises questions about the Coleman approach to estimating the relative
importance of schools and families, and searches for other analytical methods and
data sets that might open the question for further consideration.
At this initial stage, the research hasn't produced
data to suggest which
settings yield higher - quality experiences, but the early findings highlight the
importance of understanding what makes for a stimulating learning environment in the informal, home - based
settings where younger children spend more
of their time.
Staff members who work with student - level
data also know the
importance of accurately and consistently recording a student's name in order to track student
data over time and to match files across
data sets.
In that step, there was an attempt to take a
set of very regionalised tree rings in North America and extract only the key patterns
of common variability from that so that when the
data was put in to step 2, there wasn't an overweighting
of the
importance of these proxies compared to other scattered around the globe.
The other aspect discussed in the paper is the
importance of dealing with systematic errors in the
data sets.
The grant gets grouped together with other grants and the
set of grants is reviewed by other researchers in the field (peers — at NIH they are mainly outside the government), who score the grant based on the
importance (and novelty)
of the specific aims, feasibility based on preliminary
data and experimental plan and past performance
of the PI.
Thompson et al. point out the
importance of documenting the
data sets (apparently the UKMO SSU analysis was not documented in the published literature).
«If you plot other
data sets, you'll get slightly different results, but the same take - home message: there's nothing in recent global temperatures that disproves the
importance of CO2 as an agent for climate change.»
In case you doubt the
importance of question 3, consider this: In the UAH text file, a monthly
data set lasting 31 years, there are approx 370 points for each column.
The
data set itself is
of importance, the notion
of public availability and complete transparency is important (particularly in the wake
of Climategate and the issues with the CRU
data set), and the idea
of a fresh look by experts outside
of the climate field is important.
One reading in a year being taken in a grid box is no sort
of measure whatsoever, and there should be some basic crietria
set down before we accept that the huge variabilty
of readings and the paucity
of them, can go towards making a statistically meaningful
data base with all the
importance that is attached to it.
More importantly, though, one
of the survey's primary methodological criterion was «
Data or information
sets that would be
of relatively equal
importance to cities across the United States.
Participants considered the
importance of land ECVs in terms
of scientific impact and the availability
of longer - term
data sets for comparison and study.
Certain proxy
data appeared to be
of critical
importance in establishing the reliability
of the reconstruction — in particular, one
set of tree ring records spanning the boreal tree line
of North America published by dendroclimatologists Gordon Jacoby and Rosanne D'Arrigo.
«I think the BEST project is very important given the
importance of the surface temperature
data set and the problems that have been associated with the CRU and NASA
data sets, not to mention their disagreement.
As with the financial markets, where the
importance and value
of company
data have been apparent for decades, giving rise to Bloomberg Market Data, Thomson Reuters, Fact Set and many data service vendors, the same opportunity will emerge for IoT sensor data via DataBroker
data have been apparent for decades, giving rise to Bloomberg Market
Data, Thomson Reuters, Fact Set and many data service vendors, the same opportunity will emerge for IoT sensor data via DataBroker
Data, Thomson Reuters, Fact
Set and many
data service vendors, the same opportunity will emerge for IoT sensor data via DataBroker
data service vendors, the same opportunity will emerge for IoT sensor
data via DataBroker
data via DataBroker DAO.