HANDBOOK OF STATISTICAL METHODS FOR ENGINEERS AND SCIENTISTS
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HANDBOOK OF STATISTICAL METHODS FOR ENGINEERS AND SCIENTISTS Harrison M. Wadsworth, Jr. Editor Second Edition MCGRAW-HILL New York San Francisco Washington, D. C. Auckland Bogota Caracas Lisbon London Madrid Mexico City Milan Montreal New Delhi San Juan Singapore Sydney Tokyo Toronto
Transcript of HANDBOOK OF STATISTICAL METHODS FOR ENGINEERS AND SCIENTISTS
HANDBOOK OF STATISTICAL
METHODS FOR ENGINEERS AND SCIENTISTS
Harrison M. Wadsworth, Jr. Editor
Second Edition
MCGRAW-HILL New York San Francisco Washington, D. C. Auckland Bogota
Caracas Lisbon London Madrid Mexico City Milan Montreal New Delhi San Juan Singapore
Sydney Tokyo Toronto
CONTENTS
Contributors vii Preface ix
Part 1 The Fundamentals
Chapter 1. Introduction and Use of the Handbook 1.1
Harrison M. Wadsworth, Jr.
Chapter 2. Summarization and Interpretation of Data 2.1
Harrison M. Wadsworth, Jr.
Chapter 3. Graphic Methods for Quality Improvement 3.1
A. Blanton Godfrey
Part 2 Basic Statistical Methods
Chapter 4. Probability Distributions and Statistical Inference 4.1
Harrison M. Wadsworth, Jr.
Chapter 5. Statistical Intervals 5.1
Gerald J. Hahn
Chapter 6. Selection, Fitting, and Testing Statistical Models 6.1
Samuel S. Shapiro
Part 3 Intermediate Methods
Chapter 7. Statistical Process Control 7.1
William H. Woodall and Benjamin M. Adams
Chapter 8. Acceptance Sampling 8.1
Harrison M. Wadsworth, Jr.
Chapter 9. Analysis and Presentation of Reliability Data 9.1
Jeffrey H. Hooper and Sigmund J. Amster
Chapter 10. Survey Sampling Methods 10.1
Keith R. Eberhardt
vi CONTENTS
Chapter 11. Bayesian Analysis 11.1
Thomas W. Calvin
Chapter 12. Nonparametric Statistics 12.1
Jean Dickinson Gibbons
Chapter 13. Discrete-Event Computer Simulation 13.1
Jerry Banks, David Goldsman, and John S. Carson, II
Chapter 14. Linear Regression 14.1
Thomas P. Ryan
Chapter 15. Design and Analysis of Experiments 15.1
Peter R. Nelson
Part 4 Advanced Statistical Concepts
Chapter 16. Multicollinearity and Biased Estimation in Regression 16.1
Douglas C. Montgomery, Elizabeth A. Peck, and
James R. Simpson
Chapter 17. Robust Estimation and Identifying Outliers 17.1
Peter J. Rousseeuw
Chapter 18. Nonlinear Regression 18.1
James J. Swain
Chapter 19. Time Series Analysis 19.1
Frank B. Alt, Ken Hung, and Lap-Ming Wun
Chapter 20. Robust Design Methods 20.1
Raghu N. Kacker and Subir Ghosh
Chapter 21. Multivariate Quality Control 21.1
Frank B. Alt, Nancy D. Smith, and Kamlesh Jain
Appendix A.1 Name Index 1.1 Subject Index 1.11
