Box on Quality and Discovery : With Design, Control, and Robustness,9780471387688

Box on Quality and Discovery : With Design, Control, and Robustness

by ; ; ; ; ;
ISBN13: 9780471387688
ISBN10: 0471387681
Format: Hardcover
Pub. Date: 2000-08-01
Publisher(s): Wiley-Interscience
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Summary

This is a special, one-time volume, commemorating the 80th birthday of George E. P. Box. It contains over 75 articles on quality and quality-related issues, written by Box himself since 1982. Previous to this book, the editors published a similar volume on Box' writings up to 1982; it has since become a standard and useful reference for students and practitioners alike in the field of statistics.

Author Biography

GEORGE C. TIAO, PhD, is Professor of Statistics at the University of Chicago. S+REN BISGAARD, PhD, is Professor at the University of St. Gallen in Switzerland. WILLIAM J. HILL, PhD, is Fellow at Honeywell International Inc., Buffalo, New York. DANIEL PE-A, PhD, is Professor of Statistics and Econometrics, University Carlos III, Madrid. STEPHEN M. STIGLER, PhD, is Professor of Statistics at the University of Chicago.

Table of Contents

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 and Productivity
21(6)
Scientific Method: The Generation of Knowledge and Quality
27(10)
Part B. Design of Experiments for Quality
Introduction
37(2)
Do Interactions Matter?
39(4)
Teaching Engineers Experimental Design with a Paper Helicopter
43(7)
What Can You Find Out from Eight Experimental Runs?
50(9)
What Can You Find Out from Sixteen Experimental Runs?
59(11)
What Can You Find Out from Twelve Experimental Runs?
70(5)
S. Bisgaard
Sequential Experimentation and Sequential Assembly of Designs
75(9)
Must We Randomize Our Experiment?
84(6)
A Simple Way to Deal with Missing Observations from Designed Experiments
90(5)
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 of Statistics
126(15)
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 Development
182(7)
The Invention of the Composite Design
189(6)
Finding the Active Factors in Fractionated Screening Experiments
195(19)
R. D. Meyer
Follow-up Designs to Resolve Confounding in Multifactor Experiments
214(22)
R. D. Meyer
D. M. Steinberg
Projective Properties of Certain Orthogonal Arrays
236(8)
J. Tyssedal
Choice of Response Surface Design and Alphabetic Optimality
244(23)
An Apology for Ecumenism in Statistics
267(24)
Part D. Control
Introduction
291(3)
Six Sigma, Process Drift, Capability Indices, and Feedback Adjustment
294(7)
A. Luceno
Understanding Exponential Smoothing: A Simple Way to Forecast Sales and Inventory
301(7)
Feedback Control by Manual Adjustment
308(10)
Bounded Adjustment Charts
318(8)
Statistical Process Monitoring and Feedback Adjustment-A Discussion
326(29)
T. Kramer
Discrete Proportional-Integral Control with Constrained Adjustment
355(17)
A. Luceno
Discrete Proportional-Integral Adjustment and Statistical Process Control
372(29)
A. Luceno
Selection of Sampling Interval and Action Limit for Discrete Feedback Adjustment
401(17)
A. Luceno
Use of Cusum Statistics in the Analysis of Data and in Process Monitoring
418(4)
Influence of the Sampling Interval, Decision Limit, and Autocorrelation on the Average Run Length in Cusum Charts
422(7)
A. Luceno
Cumulative Score Charts
429(10)
J. Ramirez
Part E. Variance Reduction and Robustness
Introduction
439(3)
Multiple Sources of Variation: Variance Components
442(8)
The Importance of Data Transformation in Designed Experiments for Life Testing
450(13)
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 Experimentation
488(12)
S. Jones
Designing Products that Are Robust to the Environment--A Response Surface Approach
500(10)
S. Jones
An Investigation of the Method of Accumulation Analysis
510(14)
S. Jones
Signal-to-Noise Ratios, Performance Criteria, and Transformations
524(29)
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 Statistical
562(3)
References 565(20)
Biography 585(2)
Books and Articles Written by George Box from 1982 to 1999 587(5)
Index 592

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