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"Book and Multimedia Publishing Committee"--Title page.
Sommario
Foreword vii Introduction ix
Acknowledgments xi
A Statistical Fable. The Story of a Grumpy Ox
Barry Glaz xiii CHapter 1. Errors in Statistical Decision-Making
Kimberly Garland-Campbell 1 CHapter 2. Analysis of Variance and Hypothesis Testing
Marla S. McIntosh 19 Chapter 3. Blocking Principles for Biological Experiments
Michael D. Casler 53 Chapter 4. Power and Replication-Designing Powerful Experiments
Michael D. Casler 73 Chapter 5. Multiple Comparison Procedures: The Ins and Outs
David J. Saville 85 Chapter 6. Linear Regression Techniques
Christel Richter and Hans-Peter Piepho 107 Chapter 7. Analysis and Interpretation of Interactions of Fixed and Random Effects
Mateo Vargas, Barry Glaz, Jose Crossa, and Alex Morgounov 177 Chapter 8. The Analysis of Combined Experiments
Philip M. Dixon, Kenneth J. Moore, and Edzard van Santen 201 Chapter 9. Analysis of Covariance
Kevin S. McCarter 235 Chapter 10. Analysis of Repeated Measures for the Biological and Agricultural Sciences
Salvador A. Gezan and Melissa Carvalho 279 Chapter 11. The Design and Analysis of Long-term Rotation Experiments
Roger William Payne 299 Chapter 12. Spatial Analysis of Field Experiments
Juan Burgueño 319 Chapter 13. Augmented Designs-Experimental Designs in which All Treatments are Not Replicated
Juan Burgueño, Jose Crossa, and Kathleen M. Yeater 345 Chapter 14. Multivariate Methods for Agricultural Research
Kathleen M. Yeater and María B. Villamil 371 Chapter 15. Nonlinear Regression Models and Applications
Fernando Miguez, Sotirios Archontoulis, and Hamze Dokoohaki 401 Chapter 16. Analysis of Non-Gaussian Data
Walter W. Stroup 449 Appendix A.1. Author Supplements A1
APPENDIX A.2. Author Supplements
Online only APPENDIX B. Genstat Translation
Vanessa Cave Online only APPENDIX C. R Translation Jon Baldock and Kimberly Garland-Campbell
Online only
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Barry Glaz retired as a Research Agronomist of the USDA-ARS Sugarcane Field Station in Canal Point, Florida. His major research interests were 1) to identify the agronomic limits of and improve the tolerance of sugarcane to periodic water levels at or near the soil surface, and 2) to contribute to the development of high-yielding, disease resistant/tolerant sugarcane cultivars.
Kathleen M. Yeater has a Ph.D. in Biometry & Statistics from the University of Illinois and is currently a Statistician for the USDA-ARS Plains Area. Her area of expertise focuses on applied statistics issues in the agricultural sciences, with a special affinity for experimental design and multivariate statistical approaches in the ever-evolving -omics technologies.
