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A closer look reveals that 1985 and 2013 are really in a completely different world than the larger dataset.
In this study we experiment with a much larger dataset.
The larger dataset thus provided more reliable and consistent results.
Additionally, thanks to a significantly larger dataset w.r.t.
Furthermore, relevant correlations proposed previously in literature were analyzed within the context of a larger dataset.
We evaluated this new calibrated variation measure using a larger dataset than previously.
Secure procedures hAnothern proposed topicrform the dimensional redundern and cell lookup.
This method resulted in similar accuracy with a larger dataset when tested.
We collected a larger dataset (Dataset-2) that we use to analyze and model TRF events.
A larger dataset would, by definition, decrease variance of the estimates making them more accurate.
This data can be normalized and combined to form a much larger dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com