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.
This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses.
Lot of additional material is available at www.biombook.org. The book is aimed at students and researchers in forestry and environmental studies, but it will also be of interest to statisticians and researchers in other fields as well.
ESRI, Redlands, CA. 7. Kavaliunas, H. and Dougherty, L. (2000). Census sense, parts 1 & 2. Geo Spatial Solutions, 10 (July), 40–43; 10 (September), 36–39. 8. Lee, J. and Wong, D. (2000). Statistical Analysis with ArcView GIS.
... Statistical methods and applications in forestry and environmental sciences. Springer. Chang, K. C., & Yeh, M.-F. (2005). Grey-relational analysis based approach for data clustering. IEEE Proceedings – Vision, Image and Signal ...
Statistical methods and applications James S. Clark, Alan E. Gelfand. forest in Puerto Rico. Journal of Tropical Ecology 8: 47–55. Blundell, A. G. and D. R. Peart. 2001. Growth strategies of a shade-tolerant tropical tree: the ...
Few books on statistical data analysis in the natural sciences arewritten at a level that a non-statistician will easily understand.This is a book written in colloquial language, avoidingmathematical formulae as much as possible, trying to ...
This text can also serve as a bridge between professionals who understand statistics and want to learn how to perform analyses on natural resources data in R. The primary goal of this book is to learn and apply common statistical methods ...
Thirty leading international figures celebrate 50 years of achievement in biometry Over the past half-century, biometry has grown from a fledgling application of statistics to a vital and dynamic...
... application to defects in manufacturing. Technometrics, 34, 1–14. Latimer, A. M., S. Wu, A. E. Gelfand, and J. A. Silander. (2006). Building statistical models to analyze species distributions, Ecological Applications, 16, 33–50 ...
This book, which was published by Academic Press, is sadly out of print and, even though only 12 years old, lim ited in its methods and applications. This is owing to the extremely rapid development of the science since the 1970s.