By Hans-Martin Stoenner
During the preview of this essay the chosen examples became out to be so interesting, brief advent into the examples themselves will be really useful, additionally to readers no longer drawn to arithmetic and modeling:
The expanding variety of annual airport passengers used to be an outstanding instance for the basic query even if time or inhabitants reasons this bring up.
For the increase of the atmospheric carbon dioxide content material over lengthy sessions in among the current interglacial, i discovered an unmatched variable for the correlation.
For the expansion of the area inhabitants from beginning of Homo sapiens as much as its development restrict, I in comparison varied types, one time-based, the opposite one population-based.
For the long term progress of Dow Jones commercial Index, i discovered an exceptional correlation with global inhabitants and time, whereas the longer term volatility correlated quite with time.
The long term weather swap correlates with global inhabitants, while the lengthy average cyclic weather observations correlate with time, and the mix of either result in pioneering cutting edge visualizations, back in the current interglacial.
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Extra resources for Correlation of Data Series. A Scientific Study on the Selection of Meaningful Variables and Functions for the Separation of Trends, Cyclic Parts and Scatter from Data Series
Correlation of Data Series. A Scientific Study on the Selection of Meaningful Variables and Functions for the Separation of Trends, Cyclic Parts and Scatter from Data Series by Hans-Martin Stoenner