Design And Analysis Of Experiments Special Designs And Applications Volume 3 David J Balding by David J. Balding, Noel A. C. Cressie, Garrett M. Fitzmaurice, Harvey Goldstein, Iain M. Johnstone, Geert Molenberghs, David W. Scott, Adrian F. M. Smith, Ruey S. Tsay, Sanford Weisberg(eds.) 9780470530689, 9781118147634, 0470530685, 1118147634 instant download after payment.

Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplines

Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research.

Featuring contributions from leading researchers and academics, the book demonstrates how the presented concepts are used across various fields from genetics and medicinal and pharmaceutical research to manufacturing, engineering, and national security. Each chapter includes an introduction followed by the historical background as well as in-depth procedures that aid in the construction and analysis of the discussed designs. Topical coverage includes:

• Genetic cross experiments, microarray experiments, and variety trials

• Clinical trials, group-sequential designs, and adaptive designs

• Fractional factorial and search, choice, and optimal designs for generalized linear models

• Computer experiments with applications to homeland security

• Robust parameter designs and split-plot type response surface designs

• Analysis of directional data experiments

Throughout the book, illustrative and numerical examples utilize SAS, JMP, and R software programs to demonstrate the discussed techniques. Related data sets and software applications are available on the book's related FTP site.

Design and Analysis of Experiments, Volume 3 is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, and business.

Content:
Chapter 1 Genetic Crosses Experiments (pages 1–71): Murari Singh, Sudhir Gupta and Rajender Parsad
Chapter 2 Design of Gene Expression Microarray Experiments (pages 73–108): Dan Nettleton
Chapter 3 Spatial Analysis of Agricultural Field Experiments (pages 109–136): Joanne K. Stringer, Alison B. Smith and Brian R. Cullis
Chapter 4 Optimal Designs for Generalized Linear Models (pages 137–164): John Stufken and Min Yang
Chapter 5 Design and Analysis of Randomized Clinical Trials (pages 165–211): Janet Wittes and Zi?Fan Yu
Chapter 6 Monitoring Randomized Clinical Trials (pages 213–249): Eric S. Leifer and Nancy L. Geller
Chapter 7 Adaptive Randomization in Clinical Trials (pages 251–281): Lanju Zhang and William F. Rosenberger
Chapter 8 Search Linear Model for Identification and Discrimination (pages 283–298): Subir Ghosh
Chapter 9 Minimum Aberration and Related Criteria for Fractional Factorial Designs (pages 299–329): Hegang H. Chen and Ching?Shui Cheng
Chapter 10 Designs for Choice Experiments for the Multinomial Logit Model (pages 331–378): Deborah J. Street and Leonie Burgess
Chapter 11 Computer Experiments (pages 379–411): Max D. Morris
Chapter 12 Designs for Large?Scale Simulation Experiments, with Applications to Defense and Homeland Security (pages 413–441): Susan M. Sanchez, Thomas W. Lucas, Paul J. Sanchez, Christopher J. Nannini and Hong Wan
Chapter 13 Robust Parameter Designs (pages 443–469): Timothy J. Robinson and Christine M. Anderson?Cook
Chapter 14 Split?Plot Response Surface Designs (pages 471–500): G. Geoffrey Vining
Chapter 15 Design and Analysis of Experiments for Directional Data (pages 501–532): Sango B. Otieno and Christine M. Anderson?Cook