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Advancing Outlier And Quality Control Methodologies


Traditional outlier and quality control methodologies often assume that data will conform to ideal, Gaussian distributions. In practice, this is rarely the case. Upstream variability in manufacturing—ranging from process variation to equipment inconsistencies—can significantly impact the behavior of otherwise good die. Identifying subtle yield detractors requires examining a broader set of ... » read more