John Lawson

An Introduction to Acceptance Sampling and SPC with R (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book is an introduction to statistical methods used in monitoring, controlling and improving quality. It is suitable for a one-semester undergraduate course emphasizing statistical quality control for engineering majors, or a supplemental text for a graduate engineering course that included quality control topics.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 298
• Erscheinungstermin: 25. Februar 2021
• Englisch
• ISBN-13: 9781000336757
• Artikelnr.: 60860617

Autorenporträt

John Lawson is a Professor Emeritus from the Statistics Department at Brigham Young University where he taught from 1986-2019. He is an ASQ-CQE and he has a Masters Degree in Statistics from Rutgers University and a PhD in Applied Statistics from the Polytechnic Institute of N.Y. He worked as a statistician for Johnson & Johnson Corporation from 1971 to 1976, and he worked at FMC Corporation Chemical Division from 1976 to 1986 where he was the Manager of Statistical Services. He is the author of Design and Analysis of Experiments with R, CRC Press, and the co-author (with John Erjavec) of Basic Experimental Strategies and Data Analysis for Science and Engineering, CRC Press.

Inhaltsangabe

1. Introduction to Historical Background. 2. Attribute Sampling Plans. 3. Variables Sampling Plans. 4. Shewart Control Charts in Phase. 5. DoE for Quality Improvement and Troubleshooting. 6. Time Weighted Control Charts in Phase II.

Rezensionen

"In conclusion, among the few books that illustrate R for SQC, this book best uses the broadest range of state-of-the-art R packages. This breadth and up-to-date nature alone would make this book the top choice for those who want to use R for SQC. Technical discussions in the book are well-grounded in both statistical theories and in-depth knowledge of SQC practice. This book is an excellent addition to any quality engineer's library."

Youngjun Choe, University of Washington, Journal of the American Statistical Association, Vol. 117 Issue 537, 24th March 2022.