Description

About the Book

This book Advanced Statistical Techniques for Agricultural Research presents a comprehensive and systematic treatment of statistical methods applied to agricultural science. It highlights the growing importance of statistics as a core discipline in agricultural research and development. The book bridges the gap between theoretical statistics and practical agricultural applications. It is designed to serve researchers, academicians, postgraduate students, and professionals in agriculture and allied sciences. The introductory chapters explain the scope, objectives, and significance of agricultural statistical research. Different types of agricultural investigations and data collection methods are clearly discussed.
The book emphasizes the role of sampling techniques and experimental designs in agricultural experiments. Basic statistical tools such as descriptive statistics, correlation, regression, and exploratory data analysis are explained with clarity. Graphical methods and exploratory techniques are used to understand agricultural data behavior. The text gradually progresses to advanced statistical methodologies relevant to modern agricultural research. Recent advances in experimental designs, regression diagnostics, and multivariate techniques are covered in detail. Special attention is given to time series analysis and forecasting models for agricultural data.
The book also introduces qualitative dependent variable models such as logit and probit analysis. A unique feature of this book is the development of modified advanced inferential statistical techniques. New test procedures for normality and homogeneity of variances are proposed. Minimum Mean Square Error (MMSE) estimators are used to improve classical inference methods. Applications of big data analytics, data mining, and computer software in agriculture are discussed. The book reflects current trends in agricultural statistics and research methodology. Each chapter is logically organized with clear explanations and research relevance. Overall, the book serves as a valuable reference for advanced agricultural statistical research. It contributes to strengthening statistical thinking in agricultural experimentation and decision-making.

About the Author 

Dr. M. Naresh, M.Sc., Ph.D.
Assistant Professor(C)
Department of Statistics
Sri Venkateswara University
Tirupati-517502.
Mail ID: naresh.ygr@gmail.com

“Dr. K. Naga Vihari, M.Sc., B.Ed., M.Phil., Ph.D.
Associate Professor
Department of MBA
International Institute of Business Studies
Bengaluru North-562110.
Mail ID: viharinaga@gmail.com viharinaga@iibsonline.com