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Lot quality assurance sampling : ウィキペディア英語版 | Lot quality assurance sampling Lot quality assurance sampling (LQAS) is a random sampling methodology, originally developed in the 1920s 〔Dodge, H.F., & Romig, H.G. (1929). ("A method of sampling inspection." ) ''Bell System Technical Journal'' 8: 613–31.〕 as a method of quality control in industrial production. Compared to similar sampling techniques like stratified and cluster sampling, LQAS provides less information but often requires substantially smaller sample sizes. ==Summary== LQAS, sometimes called "acceptance sampling",〔Lemeshow, S. & Taber, S. (1991). Lot quality assurance sampling: single- and double-sampling plans". ''World Health Statistics Quarterly'', 44(3), 115-32. (PMID 1949879. )〕 involves taking a small random sample from each set of items in the population, and testing each sampled item to determine whether it meets a predetermined standard of quality. LQAS is functionally identical to stratified sampling (where each lot is a single stratum), but requires smaller samples because it does not attempt to construct a precise estimate of population parameters. Instead, after sampling, a researcher using LQAS performs a hypothesis test to determine whether the number of elements of interest in each lot (e.g. defective units in manufacturing, or persons with a particular medical condition in epidemiology) is likely to be greater than a predetermined threshold.
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