Design of Experiments for Agriculture and the Natural Sciences: 2nd Edition (Hardback) book cover

Design of Experiments for Agriculture and the Natural Sciences

2nd Edition

By Reza Hoshmand

Chapman and Hall/CRC

456 pages | 100 B/W Illus.

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pub: 2006-03-23
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Description

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® 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.

Reviews

"… guides readers to think through their problems, to design experiments to answer their questions, to analyze the data accruing from those experiments, and to draw sensible inferences. … the exercises at the end of the chapter give readers the opportunity to test their understanding. … a handy companion for agronomists and environmental scientists who need to experiment with treatments they can control."

-R. Webster, Journal of Environmental Quality, Vol. 36, Issue 1, January-February 2007

"…One strength of the text is that there are many actual agricultural and biological examples and data analysis problems. … This text would be beneficial to those whose backgrounds are in agriculture and biology, those who would like to see basic computational details, and those who prefer the classical test statistic/critical value approach to hypothesis testing."

-Biometrics, December 2006

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

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General
TEC003000
TECHNOLOGY & ENGINEERING / Agriculture / General
TEC010000
TECHNOLOGY & ENGINEERING / Environmental / General