Statistical methods and applications in forestry and environmental sciences Cover Image

Book

Statistical methods and applications in forestry and environmental sciences

Chandra, Girish, (editor.). Nautiyal, Raman (editor.). Chandra, Hukum (editor.).

Summary: "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." -- publisher's website

Record details

ISBN: 9811514755
ISBN: 9789811514753 (hardcover)
Physical Description: print
xii, 288 pages : illustrations (some color), color maps ; 25 cm
Publisher: Singapore : Springer, [2020]
Copyright: ©2020

Content descriptions

Bibliography, etc. Note:

Includes bibliographical references.

Formatted Contents Note:

Statistics in Indian Forestry: A Historical Perspective -- National Forest Inventory in India: Developments Toward a New Design to Meet Emerging Challenges -- Internet of Things in Forestry and Environmental Sciences -- Inverse Adaptive Stratified Random Sampling -- Improved Nonparametric Estimation Using Partially Ordered Sets -- Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling -- Calibration Approach-Based Estimators for Finite Population Mean in Multistage Stratified Random Sampling -- A Joint Calibration Estimator of Population Total Under Minimum Entropy Distance Function Based on Dual Frame Surveys -- Fusing Classical Theories and Biomechanics into Forest Modelling -- Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry -- Ridge Regression Model for the Estimation of Total Carbon Sequestered by Forest Species -- Some Investigations on Designs for Mixture Experiments with Process Variable -- Development in Copula Applications in Forestry and Environmental Sciences -- Forest Cover-Type Prediction Using Model Averaging -- Small Area Estimation for Skewed Semicontinuous Spatially Structured Responses -- Small Area Estimation for Total Basal Cover in the State of Maharashtra in India -- Estimation of Abundance of Asiatic Elephants in Elephant Reserves of Kerala State, India