Design of Experiments for Agriculture and the Natural Sciences

by Reza Hoshmand

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 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.

Product Details

ISBN-13:	9781584885382
Publisher:	Taylor & Francis
Publication date:	03/23/2006
Edition description:	REV
Pages:	452
Product dimensions:	6.12(w) x 9.19(h) x (d)

Table of Contents

The Nature of Agricultural Research. Key Assumptions of Experimental Designs. Designs for Reducing Error. Single-Factor Experimental Designs. Two-Factor Experimental Designs. Three (or More)- Factor Experimental Designs. Treatment Means Comparison. Sample Designs Over Time. Regression and Correlation Analysis. Covariance Analysis. Appendices.

Editorial 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

From the Publisher