دانلود کتاب مرزها در کنترل کیفیت آماری

The XIIIth International Workshop on Intelligent Statistical Quality Control took place in Hong Kong from August 12 to 14, 2019. The invitational workshop was jointly organized by Prof. K.-L. Tsui from the City University of Hong Kong, Prof. S. Knoth from the Helmut Schmidt University in Hamburg, Germany, and Prof. W. Schmid from the European University Viadrina in Frankfurt (Oder), Germany. In line with the talks given at the workshop, the focus of the book is on major areas of Statistical Quality Control (SQC). It consists of 22 papers that were carefully selected and reviewed by the scientific program committee. The book is divided into two parts. The majority of the papers address Statistical Process Control (SPC), which is now often called Statistical Process Monitoring (SPM). Moreover, SPC is the subject of Part I, whereas Part II is devoted to selected topics of SQC (e.g., measurement uncertainty analysis and data quality). To evaluate the performance of a control chart, various measures have been proposed. In practice, the most popular criterion is the Average Run Length (ARL). However, it is often insufficient to summarize the run length behavior using the ARL, especially when the marginal distribution of the charting statistic is not the same for all time points. Driscoll,Woodall, and Zou propose the Conditional False Alarm Rate (CFAR) in such a situation. They emphasize that enforcing a constant CFAR allows dealing with varying sample sizes, population sizes, or other influential covariates appropriately.Moreover, they describe an unpretentious manner of implementing the corresponding procedures. In applications, the in-control parameters are frequently unknown. Goedhart deals with the question of how the estimation of the unknown parameters using a reference sample influences control chart performance in Phase II. This introduces several challenges and tradeoffs regarding the design of a control chart. The author provides an overview and critical discussion of the present literature. He focuses on the Shewhart mean chart for independent samples and analyzes both the normal case and nonparametric approaches.