Statistical Process Adjustment for Quality Control

Bengt Klefsjo

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Statistical Process Adjustment for Quality Control

机译：用于质量控制的统计过程调整

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摘要

This book presents process adjustment techniques based on engineering process control methods and discusses them from the point of view of product quality control. It focuses on adjustment techniques in the presence of autocorrelation, which means the data values are dependent on each other. Among the topics discussed are auto regressive integrated moving average (ARIMA), multivariate ARIMA, auto regressive moving average exogenous and transfer function models.

机译：本书介绍了基于工程过程控制方法的过程调整技术，并从产品质量控制的角度进行了讨论。它侧重于存在自相关的情况下的调整技术，这意味着数据值相互依赖。讨论的主题包括自动回归综合移动平均线（ARIMA）、多变量 ARIMA、自动回归移动平均线外生模型和传递函数模型。

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《Quality progress》 |2003年第9期|96-0|共1页
作者
Bengt Klefsjo;
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收录信息美国《化学文摘》(CA);
原文格式 PDF
正文语种英语
中图分类工业技术;
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Statistical Process Adjustment for Quality Control

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