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首页> 外文期刊>International journal of quality, statistics, & reliability >A Procedure for the Selection of Single Sampling Plans by Variables Based on Pareto Distribution
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A Procedure for the Selection of Single Sampling Plans by Variables Based on Pareto Distribution

机译:基于帕累托分布的变量单次抽样方案选择程序

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摘要

Product control in statistical quality control is the methodology that deals with procedures for taking decisions about one or more lots of finished products manufactured by production processes. Sampling inspection by variables is one of the major classifications of product control and comprises procedures for deciding about the disposition of a lot of individual units based on sample measurements of units on a quality characteristic under study. These procedures are defined under the assumption that the quality characteristic is measurable on a continuous scale, and the functional form of the probability distribution must be known. Inspection procedures which have been developed under the implicit assumption that the quality characteristic is distributed as normal with the related properties are found in the literature of product control. The assumption of normality may not be realized often in practice, and it becomes indispensable to investigate the properties of sampling plans based on nonnormal distributions. In this paper, a single sampling plan by variables is formulated and evaluated when the quality characteristic is assumed to be distributed according to a Pareto distribution. A procedure is developed for determining the parameters of the plan for specified requirements to ensure protection to both the producer and consumer.
机译:统计质量控制中的产品控制是一种方法,该方法处理对由生产过程制造的一种或多种最终产品做出决定的程序。通过变量进行抽样检查是产品控制的主要分类之一,并且包括根据对所研究质量特征进行的单位样本测量来确定许多单个单位的处置程序。这些程序是在假设质量特性可以连续测量的前提下定义的,并且必须知道概率分布的函数形式。在产品控制的文献中可以找到根据质量特征按正常分布以及相关属性的隐含假设制定的检验程序。正态性的假设在实践中可能不会经常实现,因此基于非正态分布来研究抽样计划的属性变得必不可少。在本文中,当假定质量特征根据Pareto分布进行分配时,制定并评估由变量组成的单个抽样计划。制定了确定特定要求计划参数的程序,以确保对生产者和消费者的保护。

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