SEQUENTIAL EMBEDDING STATISTICAL ANALYSIS FOR MULTIDIMENSIONAL TOLERANCE LIMITS

摘要

The invention relates to statistical processing of multi-dimensional samples according to a step-wise sequence of iterative tolerance limit definitions using rank statistics. The processing is performed in the context of defining tolerance limits for a population that are compared to multiple process limits or acceptance criteria, with the requirement that a specified fraction of the population be confirmed to fall within the stated acceptance criteria. The symmetry (or asymmetry) may be allocated and controlled by selecting the frequency of occurrence of a specific figure of merit, and its order or position, in the sequential embedding processing sequence.