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

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.