Peihua Qiu

Introduction to Statistical Process Control (eBook, PDF)

• Format: PDF

Produktbeschreibung

A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, this book describes many recent SPC methods that improve upon the more established techniques. The author-a leading researcher on SPC-shows how these methods can handle new applications. Pseudo codes are presented for important methods and all R functions and datasets are available on the author's website.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 520
• Erscheinungstermin: 14. Oktober 2013
• Englisch
• ISBN-13: 9781482220414
• Artikelnr.: 57101167

Autorenporträt

Peihua Qiu, Ph.D., is the founding chair of the Department of Biostatistics at the University of Florida. He was previously a professor in the School of Statistics at the University of Minnesota. He is the editor of Technometrics, an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. His research focuses on jump regression analysis, medical image analysis, statistical methods for monitoring processes, and patient survival data analysis.

Inhaltsangabe

Introduction. Basic Statistical Concepts and Methods. Univariate Shewhart
Charts and Process Capability. Univariate CUSUM Charts. Univariate EWMA
Charts. Univariate Control Charts by Change-Point Detection. Multivariate
Statistical Process Control. Univariate Nonparametric Process Control.
Multivariate Nonparametric Process Control. Profile Monitoring. Appendices.
Bibliography. Index.