Cover; Half Title; Title Page; Copyright Page; Dedication; Preface and Acknowledgment; Table of Contents; Chapter 1: The Nature of Agricultural Research; 1.1 Fundamental Concepts; 1.2 Research by Practitioners; Chapter 2: Key Assumptions of Experimental Designs; 2.1 Introduction; 2.2 Assumptions of the Analysis of Variance (ANOVA) and Their Violations; 2.3 Measures to Detect Failures of the Assumptions; 2.4 Data Transformation; Chapter 3: Designs for Reducing Error; 3.1 Introduction; 3.1.1 Increasing the Size of the Experiment; 3.1.2 Refining the Experimental Conditions
3.1.3 Reducing Variability in the Experimental Material3.2 Approaches to Eliminating Uncontrolled Variations; 3.3 Error Elimination by Several Groupings of Units; 3.3.1 Latin Square; 3.3.2 Combined Latin Square; 3.3.3 Greco-Latin Square; Chapter 4: Single-Factor Experimental Designs; 4.1 Introduction; 4.2 Complete Block Designs; 4.2.1 Completely Randomized Design (CRD); 4.2.2 Randomized Complete Block (RCB) Design; 4.2.3 Latin Square Designs; 4.3 Incomplete Block Designs; 4.3.1 Balanced Lattice Designs; 4.3.2 Partially Balanced Lattice Designs; Chapter 5: Two-Factor Experimental Designs
5.1 Factorial Experiments5.2 Main Effects and Interactions in a Two-Factor Experiment; 5.3 Interpretation of Interactions; 5.4 Factorials in Complete Block Designs; 5.5 Split-Plot or Nested Designs; 5.6 Strip-Plot Design; Chapter 6: Three (or More)-Factor Experimental Designs; 6.1 Introduction; 6.2 Split-Split-Plot Design; 6.3 Strip-Split-Plot Design; 6.4 Factorial Experiments in Fractional Replication; 6.4.1 Aliases and Defining Contrasts; Chapter 7: Comparisons of Treatment Means; 7.1 Introduction; 7.2 Comparisons of Paired Means; 7.2.1 Least Significant Difference Test
7.2.2 Duncan's Multiple-Range Test (DMRT)7.3 Comparisons of Grouped Means; 7.3.1 Orthogonal Class Comparisons; 7.3.2 Trend Comparisons; Chapter 8: Sample Designs Over Time; 8.1 Terminology and Concepts; 8.1.1 Representing Time Spans; 8.2 Analysis of Experiments over Years; 8.3 Analysis of Experiments over Seasons; Chapter 9: Regression and Correlation Analysis; 9.1 Bivariate Relationships; 9.2 Regression Analysis; 9.3 Correlational Analysis; 9.4 Curvilinear Regression Analysis; 9.5 Multiple Regression and Correlation; Chapter 10: Covariance Analysis; 10.1 Introduction
10.2 Covariance Analysis Procedures10.2.1 Completely Randomized Design (CRD); 10.2.2 Randomized Complete Block (RCB) Design; 10.2.3 Split-Plot Design; 10.3 Estimating Missing Data; Appendix A: Chi-Square Distribution; Appendix B: The Arc SineTransformation; Appendix C: Selected Latin Squares; Appendix D: Random Digits; Appendix E: Points for the Distribution of F; Appendix F: Basic Plans for Balanced and Partially Balanced Lattice Designs; Appendix G: Fractional Factorial Design Plans; Appendix H: Significant Studentized Ranges for 5% and 1% Level New Multiple Range Test
