Statistical Roundtables: Insights and Best Practices

by Christine M. Anderson-Cook (Editor), Lu Lu (Editor)

Overview

Quality Progress, the flagship journal of ASQ, has been publishing the column "Statistics Roundtable" since 1999. With over 130 contributions from leading authors in applied statistics, the column has been highly successful and widely read. This book collects 90 of the most interesting and useful articles on some key topics. The editors have constructed this book to be a resource for statisticians and practitioners alike – with short, accessible, practical advice in important core areas of statistics from world-renowned experts. This book is intended to be an informative read, with bite-sized columns, as well as a starting point for deeper exploration of key statistical areas.

The book contains nine chapters with collections of articles on the following topics:

- Statistical engineering
- Data quality and measurement
- Data collection
- Key statistical tools
- Quality control
- Reliability
- Multiple response and meta-analysis
- Applications
- Communication and training

Chapter introductions provide a quick overview of the material contained in the columns of that chapter, as well as complementary articles for that topic that appear elsewhere in the book. Also included at the end of the each chapter introduction is a short list of key references that can provide additional details or examples for material in the topic area.

Product Details

BN ID:	2940158381324
Publisher:	ASQ Quality Press
Publication date:	04/22/2016
Sold by:	Barnes & Noble
Format:	eBook
Pages:	480
File size:	19 MB
Note:	This product may take a few minutes to download.

About the Author

Christine M. Anderson-Cook has been a Research Scientist at Los Alamos National Laboratory since 2004. Before joining the lab, she was a faculty member in the Department of Statistics at Virginia Tech for 8 years. Her research interest areas include design of experiments, response surface methodology, reliability, and multiple criteria optimization. She has authored over 120 publications in statistics and subject matter journals, and has served on the editorial boards of Technometrics, Journal of Quality Technology and JASA. She is the co-author of a book on Response Surface methods with Raymond H. Myers and Douglas C. Montgomery. She is a Fellow of the American Statistical Association and the American Society for Quality.

Lu Lu is a Visiting Assistant Professor in the Department of Mathematics & Statistics at the University of South Florida. She graduated from Iowa State University and was a Postdoctoral Research Associate at the Statistical Sciences Group at Los Alamos National Laboratory for three years. Her research areas include survey sampling, design of experiments, response surface methodology, reliability analysis, and multiple criteria optimization. She has authored around 30 papers published in these areas.