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The observed value is then compared to the distribution of values from the proxy time series.
Finally, we will consider the distribution of value over time.
(a) Distribution of LGNIc values.
(b) Distribution of LIFEX values.
(a) Distribution of EYS values.
(b) Distribution of MYS values.
b, Frequency distribution of global values of log10 WTR).
The distribution of RLU values is nonlinear.
In Figure 2(A), we plotted the distribution of p-values corresponding to survival tests for 10,574 validated pairs in the ovarian cancer dataset.
Consider the distribution of the value of the firm.
For the validated SFPs, we calculated the frequency distribution of their respective t values (b).
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