Experimental research design and analysis : a practical approach for the agricultural and natural sciences

Author(s)

    • Hoshmand, A. Reza

Bibliographic Information

Experimental research design and analysis : a practical approach for the agricultural and natural sciences

A. Reza Hoshmand

CRC Press, 1994

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

Experimental Research Design and Analysis offers a rational approach to the quantitative methods of agricultural experiments. In its innovative presentation of the most commonly used experimental designs, this advanced text/reference discusses the logical reasons for selecting a particular design and shows how experimental results can be analyzed and interpreted. Real-world examples from different areas of agriculture are featured throughout the book to illustrate how practical issues of design and analysis are handled. To facilitate an understanding of concepts presented in the text, a step-by-step process that reinforces key ideas is used to explain design and analysis. In addition, equations are consecutively numbered in each chapter as they are introduced; thus, each chapter can be studied independently without a loss of continuity or information. In a pedagogically useful way, chapters are organized into various subsections, each representing a unit of mastery based on incremental learning. Additionally, each chapter includes practical exercises and review questions. A solutions manual featuring answers to all review questions is provided. This book is an excellent classroom text or self-study guide intended for students and practitioners in agronomy, horticulture, agricultural economics, biometrics, soil science, and animal science.

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 Comparisons. Sample Designs Over Time. Regression Analysis. Correlational Analysis. Appendices. Index.

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