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    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/100718
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/100718


    Title: Adaptive Procedures for the Two-Stage Group-Testing Problem Based on Prior Distributions and Costs
    Authors: 唐揆
    Schneider, H.;Tang, Kwei
    Contributors: 企管系
    Keywords: Bayes, Dynamic programming, Optimization, Sampling, Screening
    Date: 1990
    Issue Date: 2016-08-24 17:23:43 (UTC+8)
    Abstract: A Bayesian model for the classical group-testing problem is presented. Lots of size N from which all the defective items have to be removed are submitted for inspection. If the number of defectives, D, is known, then the problem of group testing is to determine the (fixed) group size that minimizes the total inspection per lot for defective rate p = D/N. In this article, we assume that the number of defectives in a lot is a random variable with a Polya distribution. We also derive an optimal two-stage group-testing plan via dynamic programming. It is shown that a variable group size based on a simple updating procedure can reduce inspection substantially compared to a fixed group size based on the mean defective rate and applied to the whole lot.
    Relation: Technometrics, 32(4), 397-405
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1080/00401706.1990.10484726
    DOI: 10.1080/00401706.1990.10484726
    Appears in Collections:[企業管理學系] 期刊論文

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