Outlier identification is the process of detecting data points that significantly differ from the overall pattern of a dataset. In the context of valuation, particularly when performing precedent transactions analysis, identifying outliers helps analysts ensure that their valuation conclusions are based on reliable and representative data, avoiding skewed results that could misinform financial decisions.
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