Front cover; Contents; Preface; About the Authors; The CD-ROM; Chapter 1. Statistical Models; Chapter 2. Data Structures; Chapter 3. Linear Algebra Tools; Chapter 4. The Classical Linear Model: Least Squares and Some Alternatives; Chapter 5. Nonlinear Models; Chapter 6. Generalized Linear Models; Chapter 7. Linear Mixed Models for Clustered Data; Chapter 8. Nonlinear Models for Clustered Data; Chapter 9. Statistical Models for Spatial Data; Bibliography; Author Index; Subject Index; Back cover
Summary
This text provides real-life examples that illustrate the integration of modern statistics with practical problems in soil and crop science. The book shows the reader how to apply statistical techniques to their work, with the included CD-ROM enabling the reader to work the problems on their own
Bibliography
Includes bibliographical references (pages 703-720) and indexes