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On exact and optimal single-sampling plans by variables

机译:通过变量确定精确和最佳的单次抽样计划

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We deal with sampling by variables with two-way protection in the case of a N (μ, σ~2) distributed characteristic with unknown σ. The LR sampling plan proposed by Lieberman and Resnikoff (JASA 50: 457-516,1955) and the BSK sampling plan proposed by Bruhn-Suhr and Krumbholz (Stat. Papers 31:195-207,1990) are based on the UMVU and the plug-in estimator, respectively. For given p_1 (AQL), p_2 (RQL) and a, β (type Ⅰ and Ⅱ errors) we present an algorithm allowing to determine the optimal LR and BSK plans having minimal sample size among all plans satisfying the corresponding two-point condition on the OC. An R (R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria.
机译:在具有未知σ的N(μ,σ〜2)分布特性的情况下,我们通过具有双向保护的变量进行采样。 Lieberman和Resnikoff(JASA 50:457-516,1955)提出的LR采样计划以及Bruhn-Suhr和Krumbholz(Stat。Papers 31:195-207,1990)提出的BSK采样计划均基于UMVU和插件估算器。对于给定的p_1(AQL),p_2(RQL)和a,β(Ⅰ型和Ⅱ型误差),我们提出了一种算法,可以确定在满足相应的两点条件的所有计划中,具有最小样本量的最优LR和BSK计划。该o.c。 R(R:用于统计计算的语言和环境,R统计学计算基金会,维也纳,奥地利。

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