Applied Statistics in Agricultural, Biological, and Environmental Sciences
ACSESS Books
1. Auflage März 2020
672 Seiten, Hardcover
Wiley & Sons Ltd
Bestellung & Versand über unseren Shop oder über autorisierte Vertriebspartner.
Zum Shop
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.
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
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.