Acceptance sampling plan for variables
From Encyclopedia of Mathematics
Acceptance sampling for variables requires that one specifies the number of items to be sampled, and the criteria for decision making (lot sentencing) when data is collected on the quantity of interest. Usually a smaller sample size is needed than for an acceptance sampling plan for attributes. Sampling plans may control the lot percent fraction defective or control a lot parameter (usually the mean). The former are typically based on the upper specification limit (USL) or lower specification limit (LSL), on specific operating characteristic curves or the military standard 414 (civilian version ANSI/ASQC Z1.9). Tables may be found in [a1].
References
[a1] | D. Montgomery, "Introduction to statistical quality control" , Wiley (1991) (Edition: Second) |
How to Cite This Entry:
Acceptance sampling plan for variables. A.P. Godbole (originator), Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Acceptance_sampling_plan_for_variables&oldid=13169
Acceptance sampling plan for variables. A.P. Godbole (originator), Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Acceptance_sampling_plan_for_variables&oldid=13169
This text originally appeared in Encyclopedia of Mathematics - ISBN 1402006098