Design of Experiments

A Modern Approach

Bradley Jones, Douglas C. Montgomery

• Publisher: Wiley
• Year: 2019
• Print ISBN: 9781119611608
• eBook ISBN: 9781119611233
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Mechanical Engineering
• Index: Technology & Engineering

Design of Experiments: A Modern Approach introduces readers to planning and conducting experiments, analyzing the resulting data, and obtaining valid and objective conclusions. This innovative textbook uses design optimization as its design construction approach, focusing on practical experiments in engineering, science, and business rather than orthogonal designs and extensive analysis. Requiring only first-course knowledge of statistics and familiarity with matrix algebra, student-friendly chapters cover the design process for a range of various types of experiments.

The text follows a traditional outline for a design of experiments course, beginning with an introduction to the topic, historical notes, a review of fundamental statistics concepts, and a systematic process for designing and conducting experiments. Subsequent chapters cover simple comparative experiments, variance analysis, two-factor factorial experiments, randomized complete block design, response surface methodology, designs for nonlinear models, and more. Readers gain a solid understanding of the role of experimentation in technology commercialization and product realization activities—including new product design, manufacturing process development, and process improvement—as well as many applications of designed experiments in other areas such as marketing, service operations, e-commerce, and general business operations.

Table of contents

• Cover
• Title Page
• Copyright
• Preface
• About the Authors
• Contents
• Chapter 1 Problems
• Chapter 1 Experimental Design: Principles and Practices and Statistics Review
• Chapter 2 Problems
• Chapter 2 Simple Comparative Experiments
• Chapter 3 Problems
• Chapter 3 Experiments with a Single Categorical Factor: Design Issues and the Analysis of Variance
• Chapter 4 Problems
• Chapter 4 Experiments with a Single Continuous Factor: Design Issues and the Regression Analysis
• Chapter 5 Problems
• Chapter 5 Two‐factor Factorial Experiments
• Chapter 6 Problems
• Chapter 6 Blocking
• Chapter 7 Problems
• Chapter 7 The 2k Factorial Design
• Chapter 8 Problems
• Chapter 8 Screening Experiments
• Chapter 9 Problems
• Chapter 9 Experiments with Random Blocks
• Chapter 10 Problems
• Chapter 10 Split‐plot Experiments
• Chapter 11 Problems
• Chapter 11 Response Surface Methods
• Chapter 12 Problems
• Chapter 12 Design for Models That Are Nonlinear in the Parameters
• A JMP Scripting Commands for Computing Distribution Probabilities and Quantiles
• References
• Index
• EULA