Doe Simplified

In DOE Simplified, 3rd Edition—a comprehensive introductory text geared towards readers with minimal statistical background—the authors take a fresh and lively approach to learning the fundamentals of experiment design and analysis. This edition includes a major revision of the software that accompanies the book (via download) and sets the stage for introducing experiment designs where the randomization of one or more hard-to-change factors can be restricted. Along these lines, it includes a new chapter on split plots and adds coverage of a number of recent developments in the design and analysis of experiments.

Design of Experiments (DOE) is a planned approach for determining cause and effect relationships that can be applied to any process with measurable inputs and outputs. DOE provides a statistical means for analyzing how numerous variables interact.

DOE Simplified is a comprehensive introductory text geared towards readers with a minimal statistical background. The book:

Explains simple methods for collecting and displaying data

Presents comparative experiments for testing hypotheses

Discusses blocking sources of variation from the analysis

Looks at two-level factorial designs and covers analysis of variance

Includes problems, practice experiments, a glossary of statistical symbols, and a glossary of terms

Provides readers with access to a series of dynamic online lectures that cover the first several chapters of the book

Offering a planned approach for determining cause and effect, DOE Simplified: Practical Tools for Effective Experimentation, Third Edition integrates the authors’ decades of combined experience in providing training, consulting, and computational tools to industrial experimenters. Supplying readers with the statistical means to analyze how numerous variables interact, it is ideal for those seeking breakthroughs in product quality and process efficiency via systematic experimentation.

Following in the footsteps of its bestselling predecessors, this edition incorporates a lively approach to learning the fundamentals of the design of experiments (DOE). It lightens up the inherently dry complexities with interesting sidebars and amusing anecdotes.

The book explains simple methods for collecting and displaying data and presents comparative experiments for testing hypotheses. Discussing how to block the sources of variation from your analysis, it looks at two-level factorial designs and covers analysis of variance. It also details a four-step planning process for designing and executing experiments that takes statistical power into consideration.

This edition includes a major revision of the software that accompanies the book (via download) and sets the stage for introducing experiment designs where the randomization of one or more hard-to-change factors can be restricted. Along these lines, it includes a new chapter on split plots and adds coverage of a number of recent developments in the design and analysis of experiments.

Readers have access to case studies, problems, practice experiments, a glossary of terms, and a glossary of statistical symbols, as well as a series of dynamic online lectures that cover the first several chapters of the book.

“Mark and Pat have done it again! They have somehow managed to make statistics both interesting and understandable to an encompassing audience.”

—Bill Pedersen, PhD, PE, President, Arrowhead Innovations, Inc., Assistant Professor, University of Minnesota Duluth

“I’m a postdoc in a research group at ETH Zurich, and I’ve led a reading group of DOE Simplified, which we’ve found quite useful. I’m interested in the Launch Pad for students who have joined later to catch up, because we plan to do a reading group of RSM Simplified soon as well.”

—Dr. Timothy Wangler, ETH Zürich, Institute for Building Materials, Switzerland

“I received the book and I have to tell you, so far this is one of the best books I have read for DOE. It explains everything in a very simple manner with excellent examples. As soon as I finish this one, I am starting the RSM Simplified book.”

—Krizia M. Karry, NSF Graduate Research Fellow, Rutgers University

“My research group found DOE Simplified quite useful, along with the "Launch Pad" for catch up afterwards.”

—Timothy Wangler, PhD Chemical Engineering