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Foreword xiii
My Professional Life xvii
Part A. Improving Almost Anything
Introduction 3 (1)
Good Quality Costs Less? How Come? 4 (6)
When Murphy Speaks--Listen 10 (11)
Changing Management Policy to Improve Quality 21 (6)
and Productivity
Scientific Method: The Generation of 27 (10)
Knowledge and Quality
Part B. Design of Experiments for Quality
Introduction 37 (2)
Do Interactions Matter? 39 (4)
Teaching Engineers Experimental Design with a 43 (7)
Paper Helicopter
What Can You Find Out from Eight Experimental 50 (9)
Runs?
What Can You Find Out from Sixteen 59 (11)
Experimental Runs?
What Can You Find Out from Twelve 70 (5)
Experimental Runs?
S. Bisgaard
Sequential Experimentation and Sequential 75 (9)
Assembly of Designs
Must We Randomize Our Experiment? 84 (6)
A Simple Way to Deal with Missing 90 (5)
Observations from Designed Experiments
Finding Bad Values in Factorial Designs 95 (5)
How to Get Lucky 100 (8)
Dispersion Effects from Fractional Designs 108 (18)
R. D. Meyer
The Importance of Practice in the Development 126 (15)
of Statistics
Part C. Sequential Investigation and Discovery
Introduction 141 (5)
A Demonstration of Response Surface Methods 146 (24)
P. Y. T. Liu
Response Surface Methods: Some History 170 (4)
Statistics as a Catalyst to Learning 174 (8)
Experience as a Guide to Theoretical 182 (7)
Development
The Invention of the Composite Design 189 (6)
Finding the Active Factors in Fractionated 195 (19)
Screening Experiments
R. D. Meyer
Follow-up Designs to Resolve Confounding in 214 (22)
Multifactor Experiments
R. D. Meyer
D. M. Steinberg
Projective Properties of Certain Orthogonal 236 (8)
Arrays
J. Tyssedal
Choice of Response Surface Design and 244 (23)
Alphabetic Optimality
An Apology for Ecumenism in Statistics 267 (24)
Part D. Control
Introduction 291 (3)
Six Sigma, Process Drift, Capability Indices, 294 (7)
and Feedback Adjustment
A. Luceno
Understanding Exponential Smoothing: A Simple 301 (7)
Way to Forecast Sales and Inventory
Feedback Control by Manual Adjustment 308 (10)
Bounded Adjustment Charts 318 (8)
Statistical Process Monitoring and Feedback 326 (29)
Adjustment-A Discussion
T. Kramer
Discrete Proportional-Integral Control with 355 (17)
Constrained Adjustment
A. Luceno
Discrete Proportional-Integral Adjustment and 372 (29)
Statistical Process Control
A. Luceno
Selection of Sampling Interval and Action 401 (17)
Limit for Discrete Feedback Adjustment
A. Luceno
Use of Cusum Statistics in the Analysis of 418 (4)
Data and in Process Monitoring
Influence of the Sampling Interval, Decision 422 (7)
Limit, and Autocorrelation on the Average Run
Length in Cusum Charts
A. Luceno
Cumulative Score Charts 429 (10)
J. Ramirez
Part E. Variance Reduction and Robustness
Introduction 439 (3)
Multiple Sources of Variation: Variance 442 (8)
Components
The Importance of Data Transformation in 450 (13)
Designed Experiments for Life Testing
C. A. Fung
Is Your Robust Design Procedure Robust? 463 (11)
C. A. Fung
Split Plot Experiments 474 (8)
Robustness in Statistics 482 (6)
Split Plots for Robust Product and Process 488 (12)
Experimentation
S. Jones
Designing Products that Are Robust to the 500 (10)
Environment--A Response Surface Approach
S. Jones
An Investigation of the Method of 510 (14)
Accumulation Analysis
S. Jones
Signal-to-Noise Ratios, Performance Criteria, 524 (29)
and Transformations
Part F. Songs 553 (12)
There's No Theorem Like Bayes Theorem 555 (4)
It's Distribution Free 559 (3)
I Am the Very Model of a Profession 562 (3)
Statistical
References 565 (20)
Biography 585 (2)
Books and Articles Written by George Box from 587 (5)
1982 to 1999
Index 592