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  • acceptance sampling  (2)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of global optimization 1 (1991), S. 295-303 
    ISSN: 1573-2916
    Keywords: Minimax problems ; acceptance sampling ; incomplete prior information ; generalized moment conditions
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract We ask the experts in global optimization if there is an efficient solution to an optimization problem in acceptance sampling: Here, one often has incomplete prior information about the quality of incoming lots. Given a cost model, a decision rule for the inspection of a lot may then be designed that minimizes the maximum loss compatible with the available information. The resulting minimax problem is sometimes hard to solve, as the loss functions may have several local maxima which vary in an “unpredictable” way with the parameters of the decision rule.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    OR spectrum 13 (1991), S. 153-157 
    ISSN: 1436-6304
    Keywords: Convolution ; location family ; acceptance sampling ; incomplete prior information ; empirical Bayes ; Faltung ; Lagefamilie ; Annahmekontrolle ; unvollständige Vorinformation ; empirical Bayes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Description / Table of Contents: Zusammenfassung X sei eine Zufallsvariable mit unbekannter VerteilungsfunktionF. Gegeben sei eine Stichprobez 1,...,z n aus den FaltungenF*G 1,...,F*G n vonF mit bekannten VerteilungsfunktionenG 1,...,G n. Gesucht sind Toleranzintervalle fürX bzw. Schätzwerte für ℙ(XεI) zu vorgegebenen IntervallenI. Es werden einfache Ungleichungen bewiesen, die die Schätzung unterer Schranken für die gewünschten Wahrscheinlichkeiten ermöglichen. Eine typische Anwendung in der statistischen Qualitätskontrolle ist die Gewinnung von Vorinformationen über den Ausschußanteil aus der laufenden Prüfung von Losen derselben Produktion.
    Notes: Summary LetX be a random variable with an unknown distribution functionF. Suppose that we are given a random samplez 1,...,z n from the convolutionsF*G 1,...,F*G n ofF with known distribution functionsG 1,...,G n. We are interested in tolerance intervals forX or in the probability thatX takes values in some intervalI. Simple inequalities are proved, which permit the estimation of lower bounds for the desired probabilities. In a typical application in statistical quality control, prior information on the fraction defective may be obtained from repeated inspection of lots of the same production.
    Type of Medium: Electronic Resource
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