Cross Correlation Statistical Tests. These algorithms decide if one battlefield entity eg. The cross correlation function is the correlation between the observations of two time series x t and y t separated by k time units the correlation between y tk and x t.
Clearly F 564706 is statistically significant. However conventional cross-correlation data needs statistical tests for significance especially when the sample size of recorded spike trains is small. Using a table of Critical Values to make a decision.
An alternative way to calculate the p -value p given by LinRegTTest is the command 2tcdf abs t1099 n-2 in 2nd DISTR.
To do this for Example 1 press Ctrl-m and select the Cross Correlations data analysis tool from the Time S tab or the Time Series data analysis tool if you are using the original user interface. This will give you the estimate of the CCF if the two time series were completely uncorrelated. Detrended Cross Correlation Analysis DCCA and Detrended Moving Cross Correlation Analysis DMCA are employed to investigate whether correlations between the crises-originating countries stock. Clearly F 564706 is statistically significant.
