Design of Experiments for Agriculture and the Natural Sciences / Edition 2

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Overview

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 MinitabĀ® 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 situation.

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Product Details

  • ISBN-13: 9781584885382
  • Publisher: Taylor & Francis
  • Publication date: 3/15/2006
  • Edition description: REV
  • Edition number: 2
  • Pages: 456
  • Sales rank: 1,397,591
  • Product dimensions: 6.40 (w) x 9.30 (h) x 1.20 (d)

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

Index

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