كتاب Handbook of Design and Analysis of Experiments

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Handbook of Design and Analysis of Experiments
Edited by
Angela Dean
The Ohio State University
Columbus, Ohio, USA
Max Morris
Iowa State University
Ames, Iowa, USA
John Stufken
Arizona State University
Tempe, Arizona, USA
Derek Bingham
Simon Fraser University
Burnaby, British Columbia, Canada

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Contents
Preface xi
Editors . xv
Contributors xvii
Section I General Principles
1. History and Overview of Design and Analysis of Experiments 3
Klaus Hinkelmann
2. Introduction to Linear Models 63
Linda M. Haines
Section II Designs for Linear Models
3. Blocking with Independent Responses . 99
John P. Morgan
4. Crossover Designs . 159
Mausumi Bose and Aloke Dey
5. Response Surface Experiments and Designs 197
André I. Khuri and Siuli Mukhopadhyay
6. Design for Linear Regression Models with Correlated Errors . 237
Holger Dette, Andrey Pepelyshev, and Anatoly Zhigljavsky
Section III Designs Accommodating Multiple Factors
7. Regular Fractional Factorial Designs . 279
Robert Mee and Angela Dean
8. Multistratum Fractional Factorial Designs 321
Derek Bingham
9. Nonregular Factorial and Supersaturated Designs 339
Hongquan Xu
viiviii Contents
10. Structures Defined by Factors 371
R.A. Bailey
11. Algebraic Method in Experimental Design . 415
Hugo Maruri-Aguilar and Henry P. Wynn
Section IV Optimal Design for Nonlinear and Spatial Models
12. Optimal Design for Nonlinear and Spatial Models: Introduction and
Historical Overview . 457
Douglas P. Wiens
13. Designs for Generalized Linear Models . 471
Anthony C. Atkinson and David C. Woods
14. Designs for Selected Nonlinear Models . 515
Stefanie Biedermann and Min Yang
15. Optimal Design for Spatial Models 549
Zhengyuan Zhu and Evangelos Evangelou
Section V Computer Experiments
16. Design of Computer Experiments: Introduction and Background 577
Max D. Morris and Leslie M. Moore
17. Latin Hypercubes and Space-Filling Designs . 593
C. Devon Lin and Boxin Tang
18. Design for Sensitivity Analysis . 627
William Becker and Andrea Saltelli
19. Expected Improvement Designs . 675
William I. Notz
Section VI Cross-Cutting Issues
20. Robustness of Design . 719
Douglas P. WiensContents ix
21. Algorithmic Searches for Optimal Designs . 755
Abhyuday Mandal, Weng Kee Wong, and Yaming Yu
Section VII Design for Contemporary Applications
22. Design for Discrete Choice Experiments 787
Heiko Grossmann and Rainer Schwabe
23. Plate Designs in High-Throughput Screening Experiments for
Drug Discovery . 833
Xianggui Qu (Harvey) and Stanley Young
24. Up-and-Down Designs for Dose-Finding . 857
Nancy Flournoy and Assaf P. Oron
25. Optimal Design for Event-Related fMRI Studies 895
Jason Ming-Hung Kao and John Stufken

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