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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
Probability Sampling Methods
Principles of Probability Sampling
Randomization Importance
Equal Probability of Selection
Known Selection Probabilities
Representativeness Concepts
Statistical Inference Foundation
Simple Random Sampling
Definition and Assumptions
Sampling with Replacement
Sampling without Replacement
Selection Methods
Lottery Method
Random Number Tables
Computer-Generated Random Numbers
Systematic Random Selection
Advantages and Limitations
Estimation Procedures
Population Mean Estimation
Population Total Estimation
Population Proportion Estimation
Variance Estimation
Systematic Sampling
Definition and Procedure
Sampling Interval Determination
Random Start Selection
Linear Systematic Sampling
Circular Systematic Sampling
Advantages and Disadvantages
Periodicity Effects
Identifying Periodic Patterns
Impact on Estimates
Mitigation Strategies
Estimation in Systematic Sampling
Treating as Simple Random Sample
Alternative Variance Estimators
Stratified Random Sampling
Rationale for Stratification
Variance Reduction
Subgroup Representation
Administrative Convenience
Strata Definition
Stratification Criteria
Homogeneity within Strata
Heterogeneity between Strata
Number of Strata Considerations
Sample Size Allocation
Proportional Allocation
Optimal Allocation
Neyman Allocation
Disproportional Allocation
Power Allocation
Estimation Procedures
Stratified Mean Estimation
Stratified Total Estimation
Stratified Proportion Estimation
Weighted Estimation Methods
Variance Estimation
Advantages and Limitations
Post-Stratification
Cluster Sampling
Rationale for Clustering
Cost Efficiency
Administrative Convenience
Natural Groupings
Geographic Considerations
Cluster Definition
Cluster Size Considerations
Cluster Homogeneity
Intracluster Correlation
Single-Stage Cluster Sampling
Selection of Clusters
Complete Enumeration within Clusters
Estimation Procedures
Multi-Stage Cluster Sampling
Two-Stage Sampling
Three-Stage and Higher
Primary Sampling Units
Secondary Sampling Units
Ultimate Sampling Units
Probability Proportional to Size Sampling
PPS Selection Methods
Cumulative Size Method
Systematic PPS Selection
Applications and Advantages
Estimation in Cluster Sampling
Unbiased Estimators
Design Effect
Effective Sample Size
Advantages and Limitations
Cost Benefits
Precision Considerations
Design Effect Impact
Complex Sample Designs
Stratified Cluster Sampling
Multi-Stage Stratified Sampling
Unequal Probability Sampling
Design Considerations
Estimation Challenges
Comparison of Probability Sampling Designs
Precision Comparisons
Cost Efficiency Analysis
Design Effect Considerations
Suitability for Different Populations
Selection Criteria
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1. Foundations of Sampling Theory
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3. Non-Probability Sampling Methods