Experimental Designing and Data Analysis in Agriculture and Biology

Contents: Preface. 1. Basic Principles of Design of experiments. 2. Analysis of variance and tests for comparison between treatment means. 3. Transformation of data. 4. Single factor experiments. 5. Repeated Latin squares, Graeco Latin Square, Cross Over and Youden Square designs. 6. Sampling in field experiments. 7. Missing plot technique. 8. Factorial experiments. 9. Confounding. 10. Split and strip plot design. 11. Covariance analysis. 12. Multi-locational experiments. 13. Balanced incomplete block design. 14. Lattice designs. 15. Layout and analysis of augmented designs. 16. Block designs. 17. Analysis of Diallel crosses. 18. Design and analysis for biological assays. 19. Expected value of mean square in fixed random and mixed models. References.

"The book is an attempt to put together different designs and concepts for the benefit of students, teachers, researchers and investigators in a simple and non-mathematical way. Basic concepts of planning any design along with its analysis has been presented in steps so that even the novice may be able to understand the intricacies and get the analysis done in a proper way.

The book shall be helpful for researchers and investigators in agriculture sciences, veterinary sciences, animal sciences, biological sciences, social sciences, medical sciences, engineering and environmental sciences also." (jacket)