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E-book

Title Statistical methods and applications in forestry and environmental sciences / Girish Chandra, Raman Nautiyal, Hukum Chandra, editors
Published Singapore : Springer, 2020

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Description 1 online resource (xii, 288 pages) : illustrations (some color), color maps
Series Forum for Interdisciplinary Mathematics
Forum for interdisciplinary mathematics.
Contents 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, India -- Estimation of abundance of Asiatic Elephants in elephant reserves of Kerala State, India -- Integrated survey scheme to capture forestry related data in Bangladesh
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
Bibliography Includes bibliographical references
Notes Print version record
Subject Forests and forestry -- Statistical methods
Forest management -- Statistical methods
Environmental sciences -- Statistical methods
Bosques -- Métodos estadísticos
Ciencias medioambientales -- Métodos estadísticos
Environmental sciences -- Statistical methods
Forest management -- Statistical methods
Forests and forestry -- Statistical methods
Form Electronic book
Author Chandra, Girish
Nautiyal, Raman
Chandra, Hukum.
ISBN 9789811514760
9811514763