Design And Analysis Of Field Experiments N. Sundararaj - Info and Reading Options

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<div>This book is a humble addition to many excellent books already available on design of experiments. However, the present book differs from others in certain respects. We have addressed this book primarily to the students and research workers from diversified segments of agricultural sciences and with no adequate background in mathematics, but whose main interest is to learn and acquire a working knowledge about the fundamentals of experimental designs in a manner which appeals to their intuition and commonsense. Although we hold the view that statistical concepts can be communicated in this manner, the size of the book is a great limiting factor in sparing adequate space and attention to all the con-cepts in accomplishing this objective. The present book thus endeavours to expound the essentials of the mathematical logic underlying different types of designs in a non-mathematical language. For instance, in preference to the usual rigorous mathematical approach, we prefer to employ a heuristic approach in the presentation of linear models while exposing the reader to different statistical bases of analyses for different designs. Motivation is a great requisite force in learning. In order 'to help promote this althrough the book, we have drawn practically every illustrative example from the experiments actually conducted in various Research Stations presently under the University of Agricultural Sciences, Bangalore. The authors would like to record their grateful appreciation of the concerned authorities of the University, and also of the Bureau of Economics & Statistics, Govt. of Mysore in making available to them the necessary material for this purpose. Although the present one is a book primarily on the design of experiments, three chapters—Chapter 1 on some basic concepts of statistics, Chapter 2 on elements of tests of significance and Chapter 3 on Analysis of Variance—have been included merely to facilitate the reader to acquire a working knowledge about the statistical methods necessary for understanding the remaining part of the book. The reader is however advised to supplement this by reading other books dealing with these methods. Chapters 5, 6 and 7 lay bare the three designs of fundamental importance, viz., Completely Randomized Design, Randomized Complete Block Design and Latin Square Design, respectively. The concept of confounding in experimental designs and the need for the same are presented in Chapter 9, followed by con-founding in more complex designs in subsequent chapters. The lattice designs are discussed in Chapter 12. In the presentation of the step-wise analysis for each design certain i steps in the analysis are common to all the designs. Nonetheless, even at the risk of repetition, the details, of such steps are given in all illustrative llustrative examples and we believe this prevents not only any possible annoyance in referring back and forth for required details but, more importantly, makes each analysis complete in itself. Further we hope that the reader, this way will learn the general and specifics of different designs.</div><div><br /></div>

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