Statistical Methods for Quality Assurance

Introduction.- Statistics and Measurement.- Process Monitoring.- Process Characterization and Capability Analysis.- Experiment Design and Analysis for Process Improvement Part 1: Basics.- Experiment Design and Analysis for Process Improvement Part 2: Advanced Topics.- A Tables.

Stephen Vardeman is Professor of Statistics and Industrial Engineering at Iowa State University. He is a Fellow of the American Statistical Association and an (elected) Ordinary Member of the International Statistical Institute. His interests include physical science and engineering applications of statistics, statistics and metrology, quality assurance, business applications of statistics, modern ("big") data analytics, statistical machine learning, directional data analysis, reliability, statistics education, and the development of new statistical theory and methods. He has published textbooks in both quality assurance and engineering statistics and recently developed effective new graduate-level coursework in modern statistical machine learning.

J. Marcus Jobe is Professor of Information Systems and Analytics in the Farmer School of Business at Miami University (Ohio). His current research interests focus on measurement quality, multivariate process monitoring, pattern recognition, and oil exploration applications. Professor Jobe has taught and conducted research in Ukraine, and he has won numerous teaching awards at Miami University, including the all-university Outstanding Teaching award and the Richard T. Farmer Teaching Excellence award for senior professors in the school of business. The U.S. Dept. of State twice awarded him the Senior Fulbright Scholar award (1996-1997 and 2005-2006). Marcus Jobe also works as a consultant and has co-authored two statistics texts with Stephen Vardeman.

"This is a well-written book and provides a good number of worked examples to validate how the methods are actually used in real life situation using real datasets. ... The main strength of the book is that it still offers a good number of applications that are based on real datasets emerging from an industrial sector. ... I think this book can be successfully adopted for an undergraduate course on quality control and related topics." (S. Ejaz Ahmed, Technometrics, Vol. 59 (1), January, 2017)