the merged in situ
data without bias adjustment can have a cool bias relative to data with no ship — buoy bias.
Because ships tend to be biased warm relative to buoys and because of the increase in the number of buoys and the decrease in the number of ships, the merged in situ
data without bias adjustment can have a cool bias relative to data with no ship — buoy bias.
Mike credits his success as a researcher with being flexible and open to new things in his own life and with his ability to analyze
data without bias.
Not exact matches
He cited potential problems as the use of
data without people's knowledge and
bias decision making, such as computers making decisions in human resources and job applications
without fully understanding the criteria.
Milk sample categorization by day postpartum
without consideration for lactation stage will
bias the
data captured toward study participants who have progressed further toward mature milk production as these milk samples will be more likely to produce fat globules with suitable mRNA quality.
«You have to maintain a clear mind and look at
data and look at questions objectively and try to solve them
without being
biased toward any particular solution.»
While the former uses fundamental
data and the latter employs technical methods, both strategies seek to align themselves with the market
bias,
without over-emphasizing the exact timing of their entries.
When discussing various observers» attitudes towards some body of objective
data, such as the
data underlying the science of climate change, those who evaluate the
data without undue ideological
bias might better be described as «impartial» rather than as «objective».
My first reaction was to think that you would be more effective if you simply presented clearly
data and arguments that prove that the Robinson et al. arguments are riddled with important errors and based on
bias rather than scientific arguement,
without blatantly ridiculing of the people who wrote the article.
Ideally the scientists who collect and analyze this important
data really ought to be double blind (yes, thank you Michael Crichton for this remark, despite couching it in such
biased drivel that noone will take it seriously); and
without doubt, in order to preserve the integrity of the complex analysis that must be applied, these scientist shoud be maximally shielded, if not entirely separated from the process of determining a societal response.
Thus in my opinion, choosing the averages of historical
data without looking at the diurnal variation gives a huge positive
bias against the real «background» CO2 levels of that period in time.
A comparison of HadSST2 with the NCDC temperature
data, and of the unadjusted HadSST3 (i.e.
without the new
bias corrections) with NCDC using only common coverage ocean cells is shown in right panel of Figure 2.
As an example of an objective engineer's presentation of global warming
data, and a typical engineer's reaction to it
without panic or fear mongering, I recommend Burt Rutan's global temperature presentation, what we should be doing now in the face of this evidence, and critique of
biased data presenters at: http://rps3.com/Files/AGW/EngrCritique.AGW-Science.v4.pdf
Do you really think that it is likely that you are
without the reasoning
biases that incline you to filter
data and evidence so as to confirm your preconceptions?
Figure 2.4 (Folland et al., 2001) shows simulations of global land - surface air temperature anomalies in model runs forced with SST, with and
without bias adjustments to the SST
data before 1942.
So far so good, but the base theory gives only 1K
without feedbacks and those larger values seem to come from an odd assortment of
biased interpretations of unreliable, cherry - picked and ambiguous paleo
data combined with some circular reasoning from the use of other models.
I resent being deliberately misled by those who control and release
biased data without rigorous and exhaustive testing.
It would be even better if the software was intelligent and was able to study all the
data and learn about how the climate works
without biased humans getting in the way.
Back in the day when science was not questioned because sciences asked questions instead of as the case for AGW where science just supplies answeres
without even a question being asked,
data physical measurement, and strict adherence to the scientific method were what drove science and there was no political or ideological influences
biasing whart was done.
There are no rules about in - house research, and Larsen is troubled by the risks: «the possibility of mistake, unfairness to the parties, and judicial enshrinement of
biased data which can now be quickly posted to the world by anyone
without cost.»
A competent business should be able to independently assess a prospective employee's worth
without being
biased by another
data point.
Linking population
data for health and child protection has facilitated the tracking of child protection trajectories for these children,
without bias of subject participation and recall, and with acceptable statistical power.