Preface
Contents
About the Editors
Statistics in Indian Forestry: A Historical Perspective
1 Introduction
2 Transition from Descriptive to Analytical Approach
3 Demarcation and Surveys: An Earlier Endeavor
4 The First Forestry Journal: The Indian Forester
5 Toward Experimentation: Establishment of Forest Research Institute
6 Post-independence Scenario
7 Conclusion
References
National Forest Inventory in India: Developments Toward a New Design to Meet Emerging Challenges
1 Introduction
1.1 Temporary Sampling Plots
1.2 Permanent Observation Plots
2 Brief History of NFI in India
2.1 Forest Inventory During 1965â2002
2.2 NFI Since 2002
2.3 New Initiatives by Forest Survey of India in NFI
3 NFI in Some Other Countries
3.1 Swedish National Forest Inventory
3.2 Finnish NFI
3.3 German NFI
3.4 US NFI
4 National Forest Monitoring and Assessment-FAOâs Initiative
5 New National Forest Inventory System in India
5.1 Proposed New Design for NFI
6 Conclusions
References
Internet of Things in Forestry and Environmental Sciences
1 Introduction
2 Layers of IoT
3 Applications of IoT
3.1 Benefits of IoT in Agriculture
3.2 The IoT for Forest and Environmental Sector
4 Data Collection and Monitoring in IoT
4.1 ZigBee Technology
4.2 Data Collection in ZigBee Technology-Based Infrastructure
4.3 Data Collection in Other IoT Infrastructure
4.4 Monitoring Factors
4.5 Challenges Before IoT
5 Conclusions
References
Inverse Adaptive Stratified Random Sampling
1 Introduction
2 Inverse Adaptive Stratified Random Sampling
3 Sample Survey
4 Results and Discussions
5 Conclusions
References
Improved Nonparametric Estimation Using Partially Ordered Sets
1 Introduction
2 CDF Estimation
2.1 Nonparametric Maximum Likelihood Estimators for RSS-t
2.2 Comparison
3 Mean Estimation
3.1 New Nonparametric Estimators Based on MLEs of the CDF
3.2 Comparison
4 An Empirical Study
5 Discussion
References
Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling
1 Introduction
2 Data and Robustness
2.1 Description of the Data
2.2 Generalized Gamma Distribution
3 Bayesian Methodology
3.1 Prior Distribution of the Finite Population Size
3.2 Sample-Complement Distribution
3.3 Full Bayesian Model
3.4 Further Study of the Posterior Density
4 Bayesian Computations and Data Analyses
4.1 Random Sampler
4.2 Model Checking by Conditional Predictive Ordinate
4.3 Nonsampled Widths
5 Summary
References
Calibration Approach-Based Estimators for Finite Population Mean in Multistage Stratified Random Sampling
1 Introduction
2 Notations Used
3 Mean Estimator in Two-Stage Stratified Random Sampling
3.1 Estimator Without Using Auxiliary Information
3.2 Calibration Estimator Using Auxiliary Information at psu Level
4 Simulation Study
5 Conclusions
References
A Joint Calibration Estimator of Population Total Under Minimum Entropy Distance Function Based on Dual Frame Surveys
1 Introduction
1.1 Desirable Properties
1.2 Calibration Approach in Sample Survey
1.3 Concept of Distance Function
2 An Application to Forestry and Environment
2.1 Application of Least Absolute Shrinkage and Selection Operator (LASSO) Method of Estimation for Tree Canopy Cover
3 Joint Calibration Estimator (JCE) Under Dual Frame Surveys
3.1 Calibration Estimator
4 Bias and Variance of JCE
5 Performance of Proposed JCE
6 Higher-Order Calibration for Variance Estimation of JCE
7 Combining the Individual Frame Estimators
8 A Simulation Study
9 Conclusion
References
Fusing Classical Theories and Biomechanics into Forest Modelling
1 Introduction
1.1 Classical Theories and Biomechanics
2 Pioneer Work Done
3 Real-Time Applications
4 Conclusions
References
Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry
1 Introduction
2 Literature Review
2.1 Ordination and Redundancy Analysis
2.2 Cluster Analysis
3 Simulation
4 Analysis
5 Results
6 Discussion
References
Ridge Regression Model for the Estimation of Total Carbon Sequestered by Forest Species
1 Introduction
2 Materials and Methods
2.1 Carbon Estimation in Trees
2.2 Ridge Regression (RR) Method
3 Results and Discussion
4 Conclusions
References
Some Investigations on Designs for Mixture Experiments with Process Variable
1 Introduction
2 Models of Mixture Experiment with Process Variables
3 Construction of Mixture Experiments with Process Variable
3.1 Orthogonal Blocking
3.2 Mixture Components as Quantitative and Process Variable as Qualitative Factor
4 Analysis of Mixture Experiments with Process Variables
5 Catalogue of the Designs for q = 3â5
6 Conclusions
References
Development in Copula Applications in Forestry and Environmental Sciences
1 Introduction
2 Copula Theory
3 Copula Applications in Forestry and Environmental Sciences
3.1 Copulas in Forestry Studies
3.2 Copulas in Environmental Sciences
4 Conclusions
References
Forest Cover-Type Prediction Using Model Averaging
1 Introduction
2 Dataset Description
3 Methodology
3.1 Multinomial Logistic Regression (MLR)
3.2 Model Averaging
3.3 Ridge Model Averaging in MLR
4 Analysis and Results
5 Conclusion
References
Small Area Estimation for Skewed Semicontinuous Spatially Structured Responses
1 Introduction
2 Handling Zero-Inflated, Skewed and Spatially Structured Data
3 Two-Part Geoadditive Small Area Model
3.1 Small Area Mean Predictors
4 Conclusions
References
Small Area Estimation for Total Basal Cover in the State of Maharashtra in India
1 Introduction
2 Data Description
3 Small Area Estimation Methodology
4 Empirical Results
5 Conclusions
References
Estimation of Abundance of Asiatic Elephants in Elephant Reserves of Kerala State, India
1 Introduction
2 Materials and Methods
2.1 Sample Block Count MethodâDirect Sighting
2.2 Line Transect Sampling (Direct Sighting)
2.3 Dung Survey Using Line Transect Sampling
3 Results
3.1 Sample Block Count
3.2 Line Transect SamplingâDirect Sighting
3.3 Line Transect SamplingâDung Survey
4 Discussion and Conclusions
References
Short Note: Integrated Survey Scheme to Capture Forest Data in Bangladesh
Introduction
Integrated Survey Scheme
Conclusion
References