Design of Experiments for Agriculture and the Natural Sciences

THE NATURE OF AGRICULTURAL RESEARCH 
Fundamental Concepts
Research by Practitioners 
KEY ASSUMPTIONS OF EXPERIMENTAL DESIGNS
Introduction
Assumptions of the Analysis of Variance (ANOVA) and Their Violations
Measures to Detect Failures of the Assumptions 
Data Transformation 
DESIGNS FOR REDUCING ERROR
Introduction
Approaches to Eliminating Uncontrolled Variations 
Error Elimination by Several Groupings of Units 
SINGLE-FACTOR EXPERIMENTAL DESIGNS
Introduction
Complete Block Designs 
Incomplete Block Designs
TWO-FACTOR EXPERIMENTAL DESIGNS
Factorial Experiments 
Main Effects and Interactions in a Two-Factor Experiment
Interpretation of Interactions 
Factorials in Complete Block Designs 
Split-Plot or Nested Designs 
Strip-Plot Design
THREE (OR MORE)-FACTOR EXPERIMENTAL DESIGNS 
Introduction
Split-Split-Plot Design 
Strip-Split-Plot Design 
Factorial Experiments in Fractional Replication 
TREATMENT MEANS COMPARISONS 
Introduction
Comparisons of Paired Means 
Comparisons of Grouped Means
SAMPLE DESIGNS OVER TIME 
Terminology and Concepts
Analysis of Experiments over Years
Analysis of Experiments over Seasons 
REGRESSION AND CORRELATION ANALYSIS 
Bivariate Relationships 
Regression Analysis 
Correlational Analysis 
Curvilinear Regression Analysis
Multiple Regression and Correlation
COVARIANCE ANALYSIS
Introduction
Covariance Analysis Procedures
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
Appendix I: Student t Distribution 
Appendix J: Coefficients and the Sum of Squares of Sets of Orthogonal Polynomials When There Are Equal Interval Treatments
Appendix K: Minitab
Index