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Statistics
Sampling Theory
1. Foundations of Sampling Theory
2. Probability Sampling Methods
3. Non-Probability Sampling Methods
4. Estimation from Samples
5. Advanced Estimation Techniques
6. Sample Size Determination
7. Handling Non-Sampling Errors
8. Advanced Sampling Topics
9. Survey Design and Implementation
Advanced Sampling Topics
Two-Phase Sampling
Design Principles
First Phase Sampling
Second Phase Sampling
Estimation Procedures
Efficiency Considerations
Applications and Examples
Sequential Sampling
Sequential Decision Making
Sequential Probability Ratio Test
Stopping Rules
Quality Control Applications
Acceptance Sampling
Capture-Recapture Methods
Population Size Estimation
Two-Sample Methods
Multiple Sample Extensions
Assumptions and Violations
Wildlife Population Applications
Human Population Applications
Network Sampling
Link-Tracing Methods
Multiplicity Sampling
Hard-to-Reach Populations
Respondent-Driven Sampling
Network Size Estimation
Adaptive Sampling
Adaptive Cluster Sampling
Adaptive Allocation
Strip Adaptive Sampling
Efficiency Gains
Implementation Challenges
Spatial and Temporal Sampling
Spatial Sampling Designs
Grid Sampling
Random Spatial Sampling
Systematic Spatial Sampling
Stratified Spatial Sampling
Temporal Sampling
Time Series Sampling
Periodic Sampling
Event-Based Sampling
Longitudinal Surveys
Panel Survey Design
Attrition Handling
Repeated Cross-Sections
Cohort Studies
Specialized Applications
Environmental Sampling
Agricultural Surveys
Business Surveys
Household Surveys
Health Surveys
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7. Handling Non-Sampling Errors
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9. Survey Design and Implementation