Statistical Methods and Applications in Forestry and Environmental Sciences
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Beschreibung
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 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.
Provides a broad overview of methodologies used in statistical investigations of forestry and environmental issues Discusses important case studies related to forestry and environmental sciences Includes numerous, detailed, practical and worked examples that illustrate the applications of statistical methods in environmental issues Motivates researchers to apply new technologies in forestry and environment sciences by using R, MATLAB, Statistica, and Mathematica Written by leading experts in forestry and agricultural statistics
Autor*in
Girish Chandra
Themen in »Statistical Methods and Applications in Forestry and Environmental Sciences«
Indian Forestry Nonparametric Estimation Bayesian Inference Stratified Random Sampling Joint Calibration Estimator Fusing Classical Theories Statistical Multivariate Methods Cluster Analysis