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The most popular closing tactic is:
Large Deviations
Significant departures from the mean or median of a distribution, often indicating outliers or unusual variability in a dataset.
Large Errors
Significant deviations between observed values and those predicted or expected, often indicating a model's lack of fit.
Autoregressive Model
A type of statistical model that predicts future values based on past values of the variable, often used in time series analysis.
First-order
Typically refers to the simplest form of a mathematical model or differential equation, indicating that it involves only the first derivatives or linear terms.
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