Hardbound. The purpose of this volume of the Handbook of Statistics is to provide the reader with the state-of-the-art of statistical design and methods of analysis that are available, as well as the frontiers of research activities in developing new and better methods for performing such tasks. Scientific experiments in medicine, industry, agriculture, computer and many other disciplines are covered. Statistical methods like parametric, semiparametric, nonparametric, adaptive, univariate, multivariate, frequentist and Bayesian, are discussed. Block, row-column, nested, factorial, response surface, spatial, robust, optimum, search, singlestage, multistage, exact and approximate designs are presented. The chapters are written in expository style and will be of value to students, researchers, consultants and practitioners in universities as well as industries.
Author(s): S. Ghosh, C. R. Rao
Edition: 1
Publisher: Elsevier Science Pub Co
Year: 1996
Language: English
Pages: 1228
Handbook of Statistics 13: Design and Analysis of Experiments......Page 1
Table of Contents......Page 3
Preface......Page 13
1. The Design and Analysis of Clinical Trials......Page 16
2. Clinical Trials in Drug Development: Some Statistical Issues......Page 45
3. Optimal Crossover Designs......Page 77
4. Design and Analysis of Experiments: Nonparametric Methods with Applications to Clinical Trials......Page 105
5. Adaptive Designs for Parametric Models......Page 165
6. Observational Studies and Nonrandomized Experiments......Page 195
7. Robust Design: Experiments for Improving Quality......Page 212
8. Analysis of Location and Dispersion Effects from Factorial Experiments with a Directional Response......Page 254
9. Computer Experiments......Page 273
10. A Critique of Some Aspects of Experimental Design......Page 321
11. Response Surface Designs......Page 354
12. Multiresponse Surface Methodology......Page 387
13. Sequential Assembly of Fractions in Factorial Experiments......Page 417
14. Designs for Nonlinear and Generalized Linear Models......Page 446
15. Spatial Experimental Design......Page 485
16. Design of Spatial Experiments: Model Fitting and Prediction......Page 523
17. Design of Experiments with Selection and Ranking Goals......Page 562
18. Multiple Comparisons......Page 593
19. Nonparametric Methods in Design and Analysis of Experiments......Page 637
20. Nonparametric Analysis of Experiments......Page 710
21. Block and Other Designs Used in Agriculture......Page 764
22. Block Designs: Their Combinatorial and Statistical Properties......Page 814
23. Developments in Incomplete Block Designs for Parallel Line Bioassays......Page 879
24. Row-Column Designs......Page 906
25. Nested Designs......Page 941
26. Optimal Design: Exact Theory......Page 979
27. Optimal and Efficient Treatment-Control Designs......Page 1009
28. Model Robust Designs......Page 1056
29. Review of Optimal Bayes Designs......Page 1100
30. Approximate Designs for Polynomial Regression: Invariance, Admissibility, and Optimality......Page 1149
Subject Index......Page 1200
Handbook of Statistics: Contents of Previous Volumes......Page 1216
