Quality by Experimental Design
by Thomas B. Barker, Andrew Milivojevich
4th Edition
Publisher: Chapman and Hall/CRC
Book Details
| Print ISBN | 9781482249668 |
| eText ISBN | 9781498751018 |
| Publisher | Chapman and Hall/CRC |
| Publishing Year | 2016 |
| Edition | 4th Edition |
| Language | English |
| Pages | 756 |
Quality by Experimental Design, 4th Edition, is a textbook that explains how to achieve technological advancements in applied science and engineering through resource-efficient experimental design. It focuses on organizing experimental investigations to minimize resource consumption while delivering reliable technical conclusions.
The text addresses the philosophy of experimentation, careful investigation planning, and the role of the response variable. It introduces essential statistical frameworks, including two-level and general factorial designs, fractional factorials, randomized block and Latin square layouts, and analytical techniques for sorting experimental signal from background noise.
Intended for both newcomers and seasoned practitioners, this 2016 volume incorporates practical study features including practice exercises, statistical tables and graphs, and Minitab computational updates.
Table of Contents
Chapter 1: Why Design Experiments?
Chapter 2: Organizing the Experiment
Chapter 3: The Neglected Response Variable
Chapter 4: The Factorial Two-Level Design and General Factorial Designs
Chapter 5: Fractional Factorials at Two Levels
Chapter 6: Multilevel Designs
Chapter 7: Three-Level Designs
Chapter 8: Blocking in Factorial Designs
Chapter 9: Randomized Block and Latin Square
Chapter 10: Nested Designs
Chapter 11: Evolutionary Operation
Chapter 12: Simple Analysis
Chapter 13: Analysis of Means by Using the Variance
Chapter 14: Yates Analysis: Analysis of 2k and 2k−p Designs
Chapter 15: Matrix Algebra
Chapter 16: Least Squares Analysis
Chapter 17: Putting ANOVA and Least Squares to Work
Chapter 18: ANOVA for Blocked and Nested Designs
Chapter 19: Case History of an Experimental Investigation
Chapter 20: Robust Design
Chapter 21: Monte Carlo Simulation and Tolerance Design
Chapter 22: Case History Completed: The Utilization of the Equation
Chapter 23: Introduction to Mixture Experiments
Chapter 24: Simplex Lattice Design
Chapter 25: The Simplex Centroid Design
Chapter 26: Constrained Mixtures
Chapter 27: Statistical Tables and Graphs
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