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The determination method on products sample size under the condition of Bayesian sequential testing

机译:贝叶斯顺序测试条件下产品样本量的测定方法

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In reliability engineering, especially in the context of reliability test design, it is important to determine how many product samples should be put into field test to evaluate product reliability level or verify whether the product reliability satisfy the predefined requirement in the development contract. In this paper, the determination method on sample size under the condition of Bayesian sequential testing is proposed. According to the sequential posterior odd testing (SPOT) method, the calculation on overall probability of decisions is firstly given out. Then the determination program of sample size used to test is presented by controlling probability level of correct decision-making. Finally, we make the determination of sample size on the mean of normal distribution under the condition of Bayesian sequential testing as an example to demonstrate the proposed determination process of sample size. The comparisons with classical methods are made to prove the effectiveness of the proposed method.
机译:在可靠性工程中,特别是在可靠性测试设计的背景下,重要的是要确定有多少产品样本应投入现场测试以评估产品可靠性水平或验证产品可靠性是否满足开发合同中的预定要求。本文提出了贝叶斯顺序测试条件下的样本量的测定方法。根据顺序后奇奇数检测(点)方法,首先发出决策总体概率的计算。然后通过控制正确决策的概率水平来呈现用于测试的样本大小的确定程序。最后,我们在贝叶斯顺序测试条件下确定了正常分布的平均值的样本大小,作为示例,以证明样本大小的建议确定过程。使具有经典方法的比较来证明所提出的方法的有效性。

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