The breakdown point is a statistical concept that represents the proportion of outliers in a dataset beyond which a statistical estimator becomes unreliable or fails completely. This concept is crucial for understanding the robustness of estimation techniques, as it indicates the level of contamination a method can tolerate before its results become significantly skewed or incorrect.
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