Quality by Experimental Design, Fourth Edition

Front Cover -- Dedication -- Contents -- Foreword -- Preface to the Fourth Edition -- Preface to the Third Edition -- Preface to the Second Edition -- Preface to the First Edition -- How to Use This Book -- Section I: The Philosophy of Experimentation -- 1: Why Design Experiments? -- 2: Organizing the Experiment -- 3: The Neglected Response Variable -- Section II: Statistical Experimental Design -- 4: The Factorial Two-Level Design and General Factorial Designs -- 5: Fractional Factorials at Two Levels -- 6: Multilevel Designs -- 7: Three-Level Designs -- 8: Blocking in Factorial Designs -- 9: Randomized Block and Latin Square -- 10: Nested Designs -- 11: Evolutionary Operation -- Section III: Sorting the Signal from the Noise -- 12: Simple Analysis -- 13: Analysis of Means by Using the Variance -- 14: Yates Analysis: Analysis of 2k and 2k-p Designs -- 15: Matrix Algebra -- 16: Least Squares Analysis -- 17: Putting ANOVA and Least Squares to Work -- 18: ANOVA for Blocked and Nested Designs -- Section IV: The Derivation of Empirical Equations from Statistically Designed Experiments -- 19: Case History of an Experimental Investigation -- Section V: Utilization of Empirical Equations -- 20: Robust Design -- 21: Monte Carlo Simulation and Tolerance Design -- 22: Case History Completed: The Utilization of the Equation -- Section VI: Special Topics in Experimental Design Mixture Experiments -- 23: Introduction to Mixture Experiments -- 24: Simplex Lattice Design -- 25: The Simplex Centroid Design -- 26: Constrained Mixtures -- 27: Statistical Tables and Graphs -- References -- Back Cover