Catalogue


Box on quality and discovery : with design, control, and robustness /
editor-in-chief George C. Tiao ; editors, Sr̜en Bisgaard ... [et al.].
imprint
New York : Wiley, c2000.
description
xx, 599 p. : ill. ; 24 cm.
ISBN
0471387681 (cloth : alk. paper)
format(s)
Book
Holdings
More Details
imprint
New York : Wiley, c2000.
isbn
0471387681 (cloth : alk. paper)
general note
"A Wiley-Interscience Publication."
catalogue key
3857193
 
Includes bibliographical references and index.
A Look Inside
About the Author
Author Affiliation
George C. Tiao, PhD, is Professor of Statistics at the University of Chicago Soren 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 Pena, PhD, is Professor of Statistics and Econometrics, University Carlos III, Madrid Stephen M. Stigler, PhD, is Professor of Statistics at the University of Chicago
Reviews
Review Quotes
"...a sixth section gives the lyrics to three of Professor Box2s famous statistician party songs..." (Technometrics, Vol. 42, No. 4, May 2001) "The organization is excellent and provides something for everyone...." (Journal of Quality Technology, Vol. 33, No. 3, July 2001) "...a nice reference for the bookshelf of a quality engineer or statistician...full of useful...information, techniques, and explanations...language is clear, yet elegant..." (Technometrics, Vol. 45, No. 1, February 2003)
"As a final treat for the readers, a sixth section gives the lyrics to three of Professor Box's famous statistician party songs..." (Technometrics, Vol. 42, No. 4, May 2001 ) "The book under review...is not simply a collection of Dr. Box's work; the introductions to each part provide discussions of the topics, how they were developed,and the motivation behind the techniques described which are not available elsewhere." (Journal of Quality Technology, Vol. 33, No. 3, July 2001) "Reviewing this book was an enjoyable task. The organization is excellent and provides something for everyone...a text which is accessible to a wide range of readers with an equally wide range of technical ability. It would be an appropriate and valuable addition to any researcher's library." (Journal of Quality Technology, Vol. 33, No. 3, July 2001) "...this incomparable volume has important theoretical underpinnings and a depth of discussion that is seldom found in similar books...this book is destined to remain the definitive reference on statistical quality for many years to come. I recommend this outstanding book over all others as a reference." ( IIE Transactions on Quality and Reliability Engineering) "...a nice reference for the bookshelf of a quality engineer or statistician...full of useful...information, techniques, and explanations...language is clear, yet elegant..." ( Technometrics, Vol. 45, No. 1, February 2003)
"As a final treat for the readers, a sixth section gives the lyrics to three of Professor Box's famous statistician party songs..." (Technometrics, Vol. 42, No. 4, May 2001 )"The book under review...is not simply a collection of Dr. Box's work; the introductions to each part provide discussions of the topics, how they were developed,and the motivation behind the techniques described which are not available elsewhere." (Journal of Quality Technology, Vol. 33, No. 3, July 2001)"Reviewing this book was an enjoyable task. The organization is excellent and provides something for everyone...a text which is accessible to a wide range of readers with an equally wide range of technical ability. It would be an appropriate and valuable addition to any researchers library." (Journal of Quality Technology, Vol. 33, No. 3, July 2001)"...this incomparable volume has important theoretical underpinnings and a depth of discussion that is seldom found in similar books...this book is destined to remain the definitive reference on statistical quality for many years to come. I recommend this outstanding book over all others as a reference." (IIE Transactions on Quality and Reliability Engineering)"...a nice reference for the bookshelf of a quality engineer or statistician...full of useful...information, techniques, and explanations...language is clear, yet elegant..." (Technometrics, Vol. 45, No. 1, February 2003)
This item was reviewed in:
SciTech Book News, March 2001
To find out how to look for other reviews, please see our guides to finding book reviews in the Sciences or Social Sciences and Humanities.
Summaries
Unpaid Annotation
A collection of masterworks on quality technology from the giant in the field The chapters of this book are from the recent writings of George E. P. Box, an acknowledged world leader in the application and theory of quality methodology to management, process improvement, process design, and discovery. Box' s unique ability to explain complex ideas simply and appealingly with wit and cogent illustration is well known. It draws on profound knowledge and extensive industrial experience. In the past, these abilities have led to the creation of such techniques as response surface methods, time series analysis for forecasting and control, evolutionary operation, and applied Bayesian methods. Over the past fifteen years, Box' s work with many distinguished colleagues has been directed to the development and better understanding of quality techniques and how they can drive creativity and discovery. Key features of Box on Quality and Discovery include: Five separate sections on(I) management issues, (II) experimental design, (III) sequential investigation for discovery, (IV) process control for monitoring and feedback adjustment, and (V) reduction of variation and design of robust products and processes Edited by five eminent quality practitioners and statisticians from industry and academia Superb subject and author index for easy reference An additional key contribution from Stu Hunter Published in celebration of George Box' s 80th birthday, this incomparable volume is destined to remain the definitive reference on statistical quality for many years to come.
Bowker Data Service Summary
This text contains over 75 articles on quality and quality-related issues written by Box himself since 1982. It is edited and introduced by five statisticians and concludes with a subject and author index for easy reference.
Back Cover Copy
A collection of masterworks on quality technology from the giant in the field The chapters of this book are from the recent writings of George E. P. Box, an acknowledged world leader in the application and theory of quality methodology to management, process improvement, process design, and discovery. Box's unique ability to explain complex ideas simply and appealingly with wit and cogent illustration is well known. It draws on profound knowledge and extensive industrial experience. In the past, these abilities have led to the creation of such techniques as response surface methods, time series analysis for forecasting and control, evolutionary operation, and applied Bayesian methods. Over the past fifteen years, Box's work with many distinguished colleagues has been directed to the development and better understanding of quality techniques and how they can drive creativity and discovery. Key features of Box on Quality and Discovery include: Five separate sections on (I) management issues, (II) experimental design, (III) sequential investigation for discovery, (IV) process control for monitoring and feedback adjustment, and (V) reduction of variation and design of robust products and processes Edited by five eminent quality practitioners and statisticians from industry and academia Superb subject and author index for easy reference An additional key contribution from Stu Hunter Published in celebration of George Box's 80th birthday, this incomparable volume is destined to remain the definitive reference on statistical quality for many years to come.
Main Description
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.
Table of Contents
Forewordp. xiii
My Professional Lifep. xvii
Improving Almost Anything
Introductionp. 3
Good Quality Costs Less? How Come? From Quality Engineering, Vol. 3, No. 1, pp. 85-90 (1990-91)p. 4
When Murphy Speaks--Listen From Quality Engineering, Vol. 22, No. 10, pp. 79-84 (1989)p. 10
Changing Management Policy to Improve Quality and Productivity From Quality Engineering, Vol. 6, No. 4, pp. 719-724 (1994)p. 21
Scientific Method: The Generation of Knowledge and Quality From Quality Engineering, Vol. 30, No. 1, pp. 47-50 (1997)p. 27
Design of Experiments for Quality
Introductionp. 37
Do Interactions Matter? From Quality Engineering, Vol. 2, No. 3, pp. 365-369 (1990)p. 39
Teaching Engineers Experimental Design with a Paper Helicopter From Quality Engineering, Vol. 4, No. 3, pp. 453-459 (1992)p. 43
What Can You Find Out from Eight Experimental Runs? From Quality Engineering, Vol. 4, No. 4, pp. 619-627 (1992)p. 50
What Can You Find Out from Sixteen Experimental Runs? From Quality Engineering, Vol. 5, No. 1, pp. 167-178 (1993)p. 59
What Can You Find Out from Twelve Experimental Runs? (with S. Bisgaard) from Quality Engineering, Vol. 5, No. 4, pp. 663-668 (1993)p. 70
Sequential Experimentation and Sequential Assembly of Designs From Quality Engineering, Vol. 5, No. 2, pp. 321-330 (1993)p. 75
Must We Randomize Our Experiment? From Quality Engineering, Vol. 2, No. 4, pp. 497-502 (1990)p. 84
A Simple Way to Deal with Missing Observations from Designed Experiments From Quality Engineering, Vol. 3, No. 2, pp. 249-254 (1990-91)p. 90
Finding Bad Values in Factorial Designs From Quality Engineering, Vol. 3, No. 3, pp. 405-410 (1991)p. 95
How to Get Lucky From Quality Engineering, Vol. 5, No. 3, pp. 517-524 (1993)p. 100
Dispersion Effects from Fractional Designs (with R. D. Meyer), from Technometrics, Vol. 28, No. 1, pp. 19-27 (1986)p. 108
The Importance of Practice in the Development of Statistics From Technometrics, Vol. 26, No. 1, pp. 1-8 (1984)p. 126
Sequential Investigation and Discovery
Introductionp. 141
A Demonstration of Response Surface Methods From "Statistics as a Catalyst to Learning by Scientific Method Part I, An Example" (With P. Y. T. Liu), Journal of Quality Technology, Vol. 31, No. 1, pp. 1-15 (1999)p. 146
Response Surface Methods: Some History From "Statistics as a Catalyst to Learning by Scientific Method Part II, A Discussion," Journal of Quality Technology, Vol. 31, No. 1, pp. 16-29 (1999)p. 170
Statistics as a Catalyst to Learning From "Statistics as a Catalyst to Learning by Scientific Method Part II, A Discussion," Journal of Quality Technology, Vol. 31, No. 1, pp. 16-29 (1999)p. 174
Experience as a Guide to Theoretical Development From "Statistics as a Catalyst to Learning by Scientific Method. Response to the Discussion," Journal of Quality Technology, Vol. 31, No. 1, pp. 67-72 (1999)p. 182
The Invention of the Composite Design From Quality Engineering, Vol. 12, No. 1, pp. 119-122 (1999-2000)p. 189
Finding the Active Factors in Fractionated Screening Experiments (with R. D. Meyer) from Journal of Quality Technology, Vol. 25, No. 2, pp. 94-105 (1993)p. 195
Follow-up Designs to Resolve Confounding in Multifactor Experiments (with R. D. Meyer and D. M. Steinberg) from Technometrics, Vol. 38, No. 4, pp. 303-313 (1996)p. 214
Projective Properties of Certain Orthogonal Arrays (with J. Tyssedal) from Biometrika, Vol. 83, No. 4, pp. 950-955 (1996)p. 236
Choice of Response Surface Design and Alphabetic Optimality From Utilitas Mathematica, Vol. 21B, pp. 11-55 (1982)p. 244
An Apology for Ecumenism in Statistics From Scientific Inference, Data Analysis, and Robustness, G. E. P. Box, T. Leonard, and C.-F. Wu (eds.) Academic Press, pp. 51-84 (1983)p. 267
Control
Introductionp. 291
Six Sigma, Process Drift, Capability Indices, and Feedback Adjustment (with A. Luceno), from Quality Engineering, Vol. 12, No. 3, pp. 297-302p. 294
Understanding Exponential Smoothing: A Simple Way to Forecast Sales and Inventory From Quality Engineering, Vol. 3, No. 4, pp. 561-566 (1991)p. 301
Feedback Control by Manual Adjustment From Quality Engineering, Vol. 4, No. 1, pp. 143-151 (1991)p. 308
Bounded Adjustment Charts From Quality Engineering, Vol. 4, No. 2, pp. 331-338 (1991-92)p. 318
Statistical Process Monitoring and Feedback Adjustment--A Discussion (with T. Kramer), from Technometrics, Vol. 34, No. 3, pp. 251-267 (1992)p. 326
Discrete Proportional-Integral Control with Constrained Adjustment (with A. Luceno), from The Statistician, JRSS Series D, Vol. 44, No. 4, pp. 479-495 (1995)p. 355
Discrete Proportional-Integral Adjustment and Statistical Process Control (with A. Luceno), from Journal of Quality Technology, Vol. 29, pp. 248-260 (1997)p. 372
Selection of Sampling Interval and Action Limit for Discrete Feedback Adjustment (with A. Luceno), from Technometrics, Vol. 36, No. 4, pp. 369-378 (1994)p. 401
Use of Cusum Statistics in the Analysis of Data and in Process Monitoring From Quality Engineering, Vol. 11, No. 3, pp. 495-498 (1999)p. 418
Influence of the Sampling Interval, Decision Limit, and Autocorrelation on the Average Run Length in Cusum Charts (with A. Luceno), from Journal of Applied Statistics, Vol. 27, No. 2, pp. 172-183 (2000)p. 422
Cumulative Score Charts (with J. Ramirez), from Quality and Reliability Engineering International, Vol. 8, pp. 17-27 (1992)p. 429
Variance Reduction and Robustness
Introductionp. 439
Multiple Sources of Variation: Variance Components From Quality Engineering, Vol. 11, No. 1, pp. 171-174 (1998)p. 442
The Importance of Data Transformation in Designed Experiments for Life Testing (with C. A. Fung), from Quality Engineering, Vol. 7, No. 3, pp. 625-638 (1995)p. 450
Is Your Robust Design Procedure Robust? (with C. A. Fung), from Quality Engineering, Vol. 6, No. 3, pp. 503-514 (1994)p. 463
Split Plot Experiments From Quality Engineering, Vol. 8, No. 3, pp. 515-520 (1996)p. 474
Robustness in Statistics Extracted from paper "Statistics as a Catalyst to Learning by Scientific Method, Part II, A Discussion," Journal of Quality Technology, Vol. 31, No. 1, pp. 16-29 (1999)p. 482
Split Plots for Robust Product and Process Experimentation (with S. Jones), Extracts from "Split plot designs for robust product experimentation," Journal of Applied Statistics, Vol. 19, No. 1, pp. 3-26 (1992b) and "Split plot designs for robust product and process experimentation," Quality Engineering, Vol. 3, No. 1. (2000)p. 488
Designing Products that Are Robust to the Environment--A Response Surface Approach (with S. Jones), from Total Quality Management, Vol. 3, No. 3, pp. 265-282 (1992a) and Journal of Applied Statistics, Vol. 19, No. 1, pp. 3-26, (1992b)p. 500
An Investigation of the Method of Accumulation Analysis (with S. Jones), from Total Quality Management, Vol. 1, No. 1, pp. 101-113 (1990)p. 510
Signal-to-Noise Ratios, Performance Criteria, and Transformations From Technometrics, Vol. 30, No. 1, pp. 1-17 (1988)p. 524
Songsp. 553
There's No Theorem Like Bayes Theoremp. 555
It's Distribution Freep. 559
I Am the Very Model of a Professor Statisticalp. 562
Referencesp. 565
Biographyp. 585
Books and Articles Written by George Box from 1982 to 1999p. 587
Indexp. 592
Table of Contents provided by Syndetics. All Rights Reserved.

This information is provided by a service that aggregates data from review sources and other sources that are often consulted by libraries, and readers. The University does not edit this information and merely includes it as a convenience for users. It does not warrant that reviews are accurate. As with any review users should approach reviews critically and where deemed necessary should consult multiple review sources. Any concerns or questions about particular reviews should be directed to the reviewer and/or publisher.

  link to old catalogue

Report a problem