Beschreibung:
Dr P K Sahu, (Ph D -Agricultural Statistics) is currently Head of the Department of Agricultural Statistics, Bidhan Chandra Krishi Viswavidyalaya, India. During his more than twenty years of service he has published over ninety research papers in different national and international journals of repute. He has written four books 1) Agriculture and Applied Statistics - I, published by Kalyani publishers 2) Agriculture and Applied Statistics - II with Prof A K Das published by Kalyani publishers and 3) Gender, Education, Empowerment stands of women with Rakhee Banerjee, S Acharya and M M Adhikary, published by Agrotech Publishing House, 4) Research Methodology: A Guide for Researchers in Agricultural Science, Social Science and other related fields being published by Springer and 5) Book Chapter in Modelling, Forecasting, Artificial Neural Network and Expert System in Fisheries and Aquaculture edited by Ajit Kumar Roy and Niranjan Sarangi, published by Daya Publishing House, Delhi. A book "Estimation and Inferential Statistics" by Dr Sahu along with Prof S R Pal and Prof A K Das is under publication from Springer."
This book is aimed at a wide range of readers who lack confidence in the mathematical and statistical sciences, particularly in the fields of Agriculture, Veterinary, Fishery, Dairy and other related areas. Its goal is to present the subject of statistics and its useful tools in various disciplines in such a manner that, after reading the book, readers will be equipped to apply the statistical tools to extract otherwise hidden information from their data sets with confidence. Starting with the meaning of statistics, the book introduces measures of central tendency, dispersion, association, sampling methods, probability, inference, designs of experiments and many other subjects of interest in a step-by-step and lucid manner. The relevant theories are described in detail, followed by a broad range of real-world worked-out examples, solved either manually or with the help of statistical packages. In closing, the book also includes a chapter on which statistical packages to use, depending on the user's respective requirements.
Self-instructional reference book for Life Sciences personnels and no background of statistics required
1. Introduction to Statistics and Biostatistics.- 2. Data-Information and its Presentation.- 3. Summary Statistics.- 4. Probability Theory and Its Application.- 5. Population and Sample.- 6. Statistical Inference.- 7. Correlation Analysis.- 8. Regression Analysis.- 9. Analysis of Variance.- 10. Basic Experimental Designs.- 11. Factorial Experiments.- 12. Special Experiments and Designs.- 13. Use-Misuse of Statistical Packages.
