Freshly Printed - allow 7 days lead
Couldn't load pickup availability
Applied Statistics in Agricultural, Biological, and Environmental Sciences
Barry Glaz (Author), Kathleen M. Yeater (Author)
9780891183594, Wiley
Hardback, published 13 March 2020
672 pages
1 x 1 x 1 cm, 0.454 kg
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 CHapter 1. Errors in Statistical Decision-Making CHapter 2. Analysis of Variance and Hypothesis Testing Chapter 3. Blocking Principles for Biological Experiments Chapter 4. Power and Replication—Designing Powerful Experiments Chapter 5. Multiple Comparison Procedures: The Ins and Outs Chapter 6. Linear Regression Techniques Chapter 7. Analysis and Interpretation of Interactions of Fixed and Random Effects Chapter 8. The Analysis of Combined Experiments Chapter 9. Analysis of Covariance Chapter 10. Analysis of Repeated Measures for the Biological and Agricultural Sciences Chapter 11. The Design and Analysis of Long-term Rotation Experiments Chapter 12. Spatial Analysis of Field Experiments Chapter 13. Augmented Designs—Experimental Designs in which All Treatments are Not Replicated Chapter 14. Multivariate Methods for Agricultural Research Chapter 15. Nonlinear Regression Models and Applications Chapter 16. Analysis of Non-Gaussian Data Appendix A.1. Author Supplements A1 APPENDIX A.2. Author Supplements APPENDIX B. Genstat Translation
Barry Glaz xiii
Kimberly Garland-Campbell 1
Marla S. McIntosh 19
Michael D. Casler 53
Michael D. Casler 73
David J. Saville 85
Christel Richter and Hans-Peter Piepho 107
Mateo Vargas, Barry Glaz, Jose Crossa, and Alex Morgounov 177
Philip M. Dixon, Kenneth J. Moore, and Edzard van Santen 201
Kevin S. McCarter 235
Salvador A. Gezan and Melissa Carvalho 279
Roger William Payne 299
Juan Burgueño 319
Juan Burgueño, Jose Crossa, and Kathleen M. Yeater 345
Kathleen M. Yeater and María B. Villamil 371
Fernando Miguez, Sotirios Archontoulis, and Hamze Dokoohaki 401
Walter W. Stroup 449
Online only
Vanessa Cave Online only
APPENDIX C. R Translation Jon Baldock and Kimberly Garland-Campbell
Online only
Subject Areas: Agriculture & farming [TV]
