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Statistical Methods and Applications in Forestry and Environmental Sciences

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Cover of 'Statistical Methods and Applications in Forestry and Environmental Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Statistics in Indian Forestry: A Historical Perspective
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    Chapter 2 National Forest Inventory in India: Developments Toward a New Design to Meet Emerging Challenges
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    Chapter 3 Internet of Things in Forestry and Environmental Sciences
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    Chapter 4 Inverse Adaptive Stratified Random Sampling
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    Chapter 5 Improved Nonparametric Estimation Using Partially Ordered Sets
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    Chapter 6 Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling
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    Chapter 7 Calibration Approach-Based Estimators for Finite Population Mean in Multistage Stratified Random Sampling
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    Chapter 8 A Joint Calibration Estimator of Population Total Under Minimum Entropy Distance Function Based on Dual Frame Surveys
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    Chapter 9 Fusing Classical Theories and Biomechanics into Forest Modelling
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    Chapter 10 Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry
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    Chapter 11 Ridge Regression Model for the Estimation of Total Carbon Sequestered by Forest Species
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    Chapter 12 Some Investigations on Designs for Mixture Experiments with Process Variable
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    Chapter 13 Development in Copula Applications in Forestry and Environmental Sciences
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    Chapter 14 Forest Cover-Type Prediction Using Model Averaging
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    Chapter 15 Small Area Estimation for Skewed Semicontinuous Spatially Structured Responses
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    Chapter 16 Small Area Estimation for Total Basal Cover in the State of Maharashtra in India
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    Chapter 17 Estimation of Abundance of Asiatic Elephants in Elephant Reserves of Kerala State, India
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Statistical Methods and Applications in Forestry and Environmental Sciences
Published by
Springer Singapore, January 2020
DOI 10.1007/978-981-15-1476-0
978-9-81-151475-3, 978-9-81-151476-0

Girish Chandra, Raman Nautiyal, Hukum Chandra

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