Statistical Methods and Applications in Forestry and Environmental Sciences (eBook)

This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India.

The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.

HUKUM CHANDRA is an ICAR National Fellow at the ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India. He holds a PhD from the University of Southampton, United Kingdom, and completed his postdoctoral research at the University of Wollongong, Australia. His main research areas include sample survey design and analysis, small area estimation, bootstrap methods, statistical modelling and data analysis, and statistical methodology for the improvement of agricultural statistics. He has received numerous awards and recognition for his research contributions, including the National Award in Statistics from the Ministry of Statistics and Programme Implementation, Government of India; Cochran-Hansen Award from the International Association of Survey Statisticians; Young Researcher/Student Award from the American Statistical Association; Lal Bahadur Shastri Outstanding Young Scientist Award from ICAR; Recognition Award from the National Academy of Agricultural Sciences; Professor P.V. Sukhatme Gold Medal Award; and Dr. D.N. Lal Memorial Award from the Indian Society of Agricultural Statistics. He also received a scholarship from the Commonwealth Scholarship Commission in the United Kingdom. 

---

This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India.The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.