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A retrospective view of statistical quality control research and identification of emerging trends: a bibliometric analysis

机译:统计质量控制研究的回顾性观点和新兴趋势的识别:文献计量分析

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摘要

This study aims to identify the fundamental contributions on applications of statistical methods in the area of quality and process control, determining lines of research and statistical methods forming the dominant intellectual structure, evolution over time and identifying future tendencies and relationships between the most relevant themes. A quantitative approach linked to bibliometric analysis was used, based on research made in the Thomson/Reuters-ISI online database. Among the main results, it stands out that the importance of statistical applications applied to process and quality control continues to grow. The contributions with greatest impact are related to principal component analysis and multivariate analysis as well as in the area of clinical assessment. Besides multivariate analysis, the dominant techniques are control charts, use of data-mining tools and autocorrelation/time series.
机译:这项研究旨在确定在质量和过程控制领域中统计方法应用的基本贡献,确定构成主导知识结构的研究和统计方法,随着时间的推移发展以及确定未来趋势和最相关主题之间的关系。基于汤姆森/路透社-ISI在线数据库中的研究,采用了与文献计量分析相联系的定量方法。在主要结果中,突出的是统计应用在过程和质量控制中的重要性不断增长。影响最大的贡献与主成分分析和多元分析以及临床评估领域有关。除多元分析外,主要技术是控制图,数据挖掘工具的使用和自相关/时间序列。

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