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reacts much less strongly, and possibly is not integrated so simply into
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another. More U is found in carbonate rocks, whereas Th has a very
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With this in thoughts, we carried out a large simulation research to research the impression of chronological uncertainty on a doubtlessly helpful time-series methodology. The methodology is a type of regression involving a prediction algorithm referred to as the Poisson Exponentially Weighted Moving Average (PEMWA). It is designed to be used with depend time-series data, which makes it relevant to a wide range of questions about human-environment interaction in deep time. Our simulations recommend that the PEWMA methodology can often appropriately determine relationships between time-series regardless of chronological uncertainty. When two time-series are correlated with a coefficient of zero.25, the tactic is in a position to establish that relationship correctly 20–30% of the time, providing the time-series comprise low noise ranges. With correlations of around zero.5, it’s able to appropriately figuring out correlations despite chronological uncertainty greater than 90% of the time.