Procedures to determine optimum two-stage sampling plans by attributes
In order to compare two sampling plans we use the minimax regret principle, i.e. the minimax principle applied to regret functions. It is shown that among all two-stage sampling plans there exists an optimum sampling plan which can be computed with the aid of a procedure presented in this paper; furthermore another procedure is described how to obtain an approximately optimum two-stage sampling plan in a more direct way. Finally only those two-stage sampling plans are regarded which satisfy an additional condition; among these sampling plans an optimum one exists and is to be determined, too.
KeywordsStochastic Process Probability Theory Economic Theory Additional Condition Sampling Plan
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- Arnold BF (1984) Improvingk-stage sampling plans by attributes with the aid of (k+1)-stage sampling plans and an application to the casek=1. Statistics & Decisions 2:75–92Google Scholar
- Uhlmann W (1969) Kostenoptimale Prüfpläne. Würzburg WienGoogle Scholar
- Uhlmann W (1982) Statistische Qualitätskontrolle. StuttgartGoogle Scholar