Competitive Innovation and Improvement: Statistical Design and Control

A new book by Kieron Dey

In this book, statistical design and control are combined in a novel way to solve problems quickly with sustained results. The book illustrates these two seemingly complex topics utilizing large-scale case studies where solutions were achieved with simplicity.

Competitive Innovation and Improvement: Statistical Design and Control is written for any reader. The text starts in a simple yet effective way, and gradually increases in complexity, while optional footnotes discuss methodologies in a more in-depth way.

Dey’s book details much of the Nobi problem solving process, and is an excellent way to fully understand the mathematics and technical details that lie behind our elegant business solutions.

Already used as a college text, Competitive Innovation and Improvement is a trusted guide to proven problem solving strategy.

selected reviews
A wonderful book with unique insights into an area of enormous potential. ... not duplicated anywhere to the best of my knowledge. Writing style makes it easy to follow each topic.
Dr. Steve Grady

Consulting Econometrician

The concept is simple (it makes you wonder why others haven’t tried it). The large scale is unique ... not discussed in current literature.
Tim Baer

Principal Statistician, Roche Diagnostics

Dr. Randy Brown

Director of Health Research, Mathematica

Written as a tool for business, the book was developed to be used by anyone within the corporate structure. With included footnotes and technical information, it can also be used as a tool by seasoned mathematics and statistics professionals. The included large-scale case studies and graphic illustrations of the mathematics allow readers work through complex problems with ease.

Although mathematics (as advanced as needed to solve the problem) is used throughout the text, it is translated into simple arithmetic without any mathematical notation. The book limits references to a few essential texts and papers that readers can refer to as they become more experienced in statistical design and control.