Design of Experiments for Agriculture and the Natural Sciences

Design of Experiments for Agriculture and the Natural Sciences

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Written to meet the needs of both students and applied researchers, Design of Experiments for Agriculture and the Natural Sciences, Second Edition serves as an introductory guide to experimental design and analysis. Like the popular original, this thorough text provides an understanding of the logical underpinnings of design and analysis by selecting and discussing only those carefully chosen designs that offer the greatest utility. However, it improves on the first edition by adhering to a step-by-step process that greatly improves accessibility and understanding. Real problems from different areas of agriculture and science are presented throughout to show how practical issues of design and analysis are best handled. Completely revised to greatly enhance readability, this new edition includes: * A new chapter on covariance analysis to help readers reduce errors, while enhancing their ability to examine covariances among selected variables * Expanded material on multiple regression and variance analysis * Additional examples, problems, and case studies * A step-by-step Minitab(R) guide to help with data analysis Intended for those in the agriculture, environmental, and natural science fields as well as statisticians, this text requires no previous exposure to analysis of variance, although some familiarity with basic statistical fundamentals is assumed. In keeping with the book's practical orientation, numerous workable problems are presented throughout to reinforce the reader's ability to creatively apply the principles and concepts in any given more

Product details

  • Hardback | 456 pages
  • 185.2 x 241.8 x 29.7mm | 1,109.75g
  • Taylor & Francis Inc
  • Chapman & Hall/CRC
  • Boca Raton, FL, United States
  • English
  • Revised
  • 2nd Revised edition
  • 100 black & white illustrations
  • 1584885386
  • 9781584885382
  • 1,633,145

Table of contents

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 Indexshow more