Applied Statistics in Agricultural, Biological, and Environmental Sciences

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

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