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The high degree of correlation prevents many existing statistical methods from being used, because those normally assume that the sources are statistically independent [14, 15, 18].
However, temperature actions are random process of which distribution laws are difficult to explore, and existing statistical methods for structure temperature analysis are still not precise.
Many existing statistical methods for missing data require observations at individual levels.
Herein, we review some existing statistical methods used in GS.
These effects are currently not adequately corrected using existing statistical methods.
Existing statistical methods for the detection of publication bias were applied on data from the included studies.
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Existing statistical-analysis methods are not designed for such discrimination because the null expectation of signal is set by sequencing technology considerations alone and not by a polymer model which incorporates the physical effects systematically.
To summarize, altmetrics should build on existing statistical and social science methods for developing reliable measures.
Unlike existing conventional statistical methods, most clustering algorithms do not rely on statistical distributions of data and thus can be helpful to apply when little prior knowledge exists on a certain issue [5].
Case studies are useful in cases where existing theoretical or statistical methods are weak (George and Bennet 2005).
The aim is to develop methods that will be useful for modeling and comparing intervention strategies using existing data and standard statistical methods.
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