Sampling Theory

8.

Advanced Sampling Topics

8.1.

Two-Phase Sampling

8.1.1.

Design Principles

8.1.2.

First Phase Sampling

8.1.3.

Second Phase Sampling

8.1.4.

Estimation Procedures

8.1.5.

Efficiency Considerations

8.1.6.

Applications and Examples

8.2.

Sequential Sampling

8.2.1.

Sequential Decision Making

8.2.2.

Sequential Probability Ratio Test

8.2.3.

8.2.4.

Quality Control Applications

8.2.5.

Acceptance Sampling

8.3.

Capture-Recapture Methods

8.3.1.

Population Size Estimation

8.3.2.

Two-Sample Methods

8.3.3.

Multiple Sample Extensions

8.3.4.

Assumptions and Violations

8.3.5.

Wildlife Population Applications

8.3.6.

Human Population Applications

8.4.

Network Sampling

8.4.1.

Link-Tracing Methods

8.4.2.

Multiplicity Sampling

8.4.3.

Hard-to-Reach Populations

8.4.4.

Respondent-Driven Sampling

8.4.5.

Network Size Estimation

8.5.

Adaptive Sampling

8.5.1.

Adaptive Cluster Sampling

8.5.2.

Adaptive Allocation

8.5.3.

Strip Adaptive Sampling

8.5.4.

Efficiency Gains

8.5.5.

Implementation Challenges

8.6.

Spatial and Temporal Sampling

8.6.1.

Spatial Sampling Designs

8.6.1.1.

8.6.1.2.

Random Spatial Sampling

8.6.1.3.

Systematic Spatial Sampling

8.6.1.4.

Stratified Spatial Sampling

8.6.2.

Temporal Sampling

8.6.2.1.

Time Series Sampling

8.6.2.2.

Periodic Sampling

8.6.2.3.

Event-Based Sampling

8.6.3.

Longitudinal Surveys

8.6.3.1.

Panel Survey Design

8.6.3.2.

Attrition Handling

8.6.3.3.

Repeated Cross-Sections

8.6.3.4.

8.7.

Specialized Applications

8.7.1.

Environmental Sampling

8.7.2.

Agricultural Surveys

8.7.3.

Business Surveys

8.7.4.

Household Surveys

8.7.5.

Previous

7. Handling Non-Sampling Errors

Go to top

Next

9. Survey Design and Implementation