Foreword by (J. Stuart Hunter).
Friends of George Box.
My Professional Life.
PART A: SOME THOUGHTS ON PROCESS AND QUALITY
IMPROVEMENT.
Introduction.
Good Quality Costs Less? How Come?
When Murphy Speaks?Listen.
Changing Management Policy to Improve Quality and
Productivity.
Scientific Method: The Generation of Knowledge.
PART B: DESIGN OF EXPERIMENTS FOR PROCESS
IMPROVEMENT.
Introduction.
Do Interactions Matter?
Teaching Engineers Experimental Design with a Paper
Helicopter.
What Can You Find Out from Eight Experimental Runs?
What Can You Find Out from Sixteen Experimental Runs?
What Can You Find Out from Twelve Experimental Runs?
Sequential Experimentation and Sequential Assembly of
Designs.
Must We Randomize Our Experiment?
A Simple Way to Deal with Missing Observations from Designed
Experiments.
Finding Bad Values in Factorial Designs.
How to Get Lucky.
Dispersion Effects from Fractional Designs.
The Importance of Practice in the Development of Statistics.
PART C: SEQUENTIAL INVESTIGATION AND DISCOVERY.
Introduction.
A Demonstration of Response Surface Methods.
Response Surface Methods: Some History.
Statistics as a Catalyst to Learning.
Experience as a Guide to Theoretical Development.
The Invention of the Composite Design.
Finding the Active Factors in Fractionated Screening
Experiments.
Follow-up Designs to Resolve Confounding in Multifactor
Experiments.
Projective Properties of Certain Orthogonal Arrays.
Choice of Response Surface Design and Alphabetic Optimality.
An Apology for Ecumenism in Statistics.
PART D: CONTROL.
Introduction.
Six Sigma, Process Drift, Capability Indices, and Feedback
Adjustment.
Understanding Exponential Smoothing: A Simple Way to Forecast
Sales and Inventory.
Feedback Control by Manual Adjustment.
Bounded Adjustment Charts.
Statistical Process Monitoring and Feedback Adjustment?A
Discussion.
Dicrete Proportional-Integral Control with Constrained
Adjustment.
Dicrete Proportional-Integral Adjustment and Statistical Process
Control.
Selection of Sampling Interval and Action Limit for Discrete
Feedback Adjustment.
Use of Cusum Statistics in the Analysis of Data and in Process
Monitoring.
Influence of the Sampling Interval, Decision Limit, and
Autocorrelation on the Average Run Length in Cusum Charts.
Cumulative Score Charts.
PART E: VARIANCE REDUCTION AND ROBUSTNESS.
Introduction.
Multiple Sources of Variation: Variance Components.
The Importance of Data Transformation in Designd Experiments for
Life Testing.
Is Your Robust Design Procedure Robust?
Split Plot Experiments.
Robustness in Statistics.
Split Plots for Robust Product and Process Experimentation.
Designing Products that Are Robust to the Experiment?A
Response Surfacem Approach.
An Investigation of the Method of Accumulatin Analysis.
Signal-to-Noise Ratios, Performance Criteria, and
Transformations.
PART F: SONG.
There's No Theorem Like Bayes Theorem.
It's distribution Free.
I Am the Very Model of a Professor Statistical.
References.
Biography.
Books and Articals Written by George Box from 1982 to 2005.
Index.
