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基于双重差分估计量的验收抽样计划及其应用

Acceptance sampling plan based on difference in difference estimator with application.

作者信息

Azam Muhammad, Khan Maira Ahsan, Arshad Asma, Saleem Muhammad, Aslam Muhammad

机构信息

Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan.

Department of Statistics, Kinnaird College for Women, Lahore, Pakistan.

出版信息

Sci Rep. 2023 Dec 15;13(1):22305. doi: 10.1038/s41598-023-49786-8.

DOI:10.1038/s41598-023-49786-8
PMID:38102466
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10724256/
Abstract

An acceptance sampling plan has been designed in this study based on the Difference-in-Difference estimator. This plan is designed for the inspection of those product units whose life follows the normal distribution. The operating characteristic function is discussed for the two respective cases of the standard deviation known and unknown. The parameters of the proposed plan are determined by minimizing the sample size and followed by the satisfying optimization rule. The results are computed and tabulated for various parametric combinations of acceptable quality levels and limiting quality levels. The computations are performed by using R statistical programming software for all respective cases. The real-life application of the proposed sampling plan has been discussed and elaborated in detail.

摘要

本研究基于差分估计设计了一种验收抽样方案。该方案旨在检验寿命服从正态分布的产品单元。针对标准差已知和未知这两种情况,讨论了操作特性函数。通过最小化样本量并遵循满意的优化规则来确定所提方案的参数。针对可接受质量水平和极限质量水平的各种参数组合计算并列出结果。所有情况的计算均使用R统计编程软件进行。详细讨论并阐述了所提抽样方案的实际应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c9d/10724256/fb16056bd2d2/41598_2023_49786_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c9d/10724256/c2a5f4c993a1/41598_2023_49786_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c9d/10724256/fb16056bd2d2/41598_2023_49786_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c9d/10724256/c2a5f4c993a1/41598_2023_49786_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c9d/10724256/fb16056bd2d2/41598_2023_49786_Fig2_HTML.jpg

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本文引用的文献

1
A control chart based on cluster-regression adjustment for retrospective monitoring of individual characteristics.一种基于聚类回归调整的控制图,用于对个体特征进行回顾性监测。
PLoS One. 2015 Apr 29;10(4):e0125835. doi: 10.1371/journal.pone.0125835. eCollection 2015.
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Sample sizes for clinical trials with normal data.具有正态数据的临床试验的样本量。
Stat Med. 2004 Jun 30;23(12):1921-86. doi: 10.1002/sim.1783.