"Systematic bias" refers to a consistent and unfair favoring or discrimination towards certain groups, ideas, or outcomes. It happens due to ingrained prejudices or social structures that influence decisions and actions, resulting in unfair treatment or unequal opportunities.
Full definition
But we still see
systematic biases in some of the models so we have to often correct for these biases when looking at other models for impact studies.
The idea is
systematic biases exist that would generate excess relative returns if these factors were over - or under - weighted relative to the cap - weighted market.
First and foremost, our portfolio construction discipline is grounded in bottom - up stock selection as the key driver of results and avoiding
unintended systematic biases.
In addition a number of adjustments are applied that aim to remove
supposed systematic biases due to changes in sampling methodologies.
Decision science shows that human decision - making is fraught
with systematic biases that lead to suboptimal decisions in all contexts.
Here BEST provide a large loophole, as they warn that their methods will not cope with «large
scale systematic biases»:
Ultimately, we need to significantly improve models and
reduce systematic biases in order to test the robustness of results like this.»
In Phase II of AeroCom, a large - scale model intercomparison was performed to document the current state of OA modeling in the global troposphere, evaluate the OA simulations by comparison with observations, identify weaknesses that still exist in models, explain the agreements and disagreements between models and observations, and attempt to identify and analyze
potential systematic biases in the models.
(Please keep in mind that the Berkeley Earth curve, in black, does not include adjustments designed to
eliminate systematic bias.)
All data were reduced using the SOSIE algorithm, which accounts for
systematic biases present in previously published observations.
Through a stock selection process that is focused on the early identification of changes in fundamentals, and active portfolio management that embraces intentional risk taking while minimizing
unnecessary systematic biases, we seek to consistently benefit from persistent market anomalies and inefficiencies.
Using a variety of methods researchers have
documented systematic biases (e.g., underreaction, overreaction, etc.) that occur among professional investors as well as novices.
Unless these nine models share
common systematic biases, it is thus expected that the average 2014 September Arctic sea ice extent will be in the range 3.95 - 5.6 million km ², and likely above the trend line (5.1 million km ²), a situation similar to 2013.
Homogenization models appear to suffer from the
same systematic biases that caused the gross failure of global climate models to reproduce the well documented Arctic warming of the 30s and 40s illustrated and discussed in part 1 and part 2.
A
more systematic bias is seen in the differences between the RSS and UAH versions of the MSU - LT (lower troposphere) satellite temperature record.
@Derfder I mean your impression about the characterization of the Afghanistan fighters in the media reflects
the systematic bias in the media sources you are watching.
It does occur frequently enough that vote recounts are common, sometimes with noticeable discrepancies which suggest
a systematic bias with some individual counters» perceptions.
This rule was removed in the late 1950s, and from the early 1960s till the late 1980s there was
no systematic bias between Labour and Conservative.
The researchers also uncovered
a systematic bias against women with elite doctorates, who slid further down the hierarchy in their faculty jobs compared with men from the same institutions.
I think there are a number of
systematic biases, what I call «historical myopia» being one of them.
The Berkeley data are marked as preliminary because they do not include treatments for the reduction of
systematic bias.
Executive Summary The Berkeley Earth Surface Temperature project was created to make the best possible estimate of global temperature change using as complete a record of measurements as possible and by applying novel methods for the estimation and elimination of
systematic biases.
Based on the preliminary work we have done, I believe that
the systematic biases that are the cause for most concern can be adequately handled by data analysis techniques.
By using all the data and new statistical approaches that can handle short records, and by using novel approaches to estimation and avoidance of
systematic biases, we expect to improve on the accuracy of the estimate of the Earth's temperature change.
The previous method apparently did not lead to
any systematic biases, however.
The use of surrogate information for controls in etiologic case - control studies of Alzheimer's disease may be useful without unacceptable loss of information or
systematic biases.
No systematic biases were found (range for bias factor 0.65 — 4.12 and range for mean differences − 1.81 — 1.30, none of them statistically significant).