Indirect sampling /
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| Author / Creator: | Lavallée, Pierre. |
|---|---|
| Imprint: | New York ; London : Springer, 2007. |
| Description: | xvi, 245 p. : ill. ; 24 cm. |
| Language: | English |
| Series: | Springer series in statistics |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/6418989 |
Table of Contents:
- Chapter 1. Introduction
- 1.1. Review of sampling theory and weighting
- 1.2. Cluster sampling
- 1.3. Indirect sampling
- 1.4. Generalised weight share method
- Chapter 2. Description and Use of the GWSM
- 2.1. Description
- 2.2. Use
- 2.2.1. Indirect sampling for rare populations
- 2.2.2. Weighting using only the selection probabilities of the selected units
- 2.2.3. Weighting of populations related by complex links
- 2.2.4. Weighting of unlinked units
- Chapter 3. Literature Review
- 3.1. First steps
- 3.2. Fair Share Method
- 3.3. Contribution of Ernst (1989)
- 3.4. Network Sampling
- 3.5. Adaptive Cluster Sampling
- 3.6. Snowball Sampling
- Chapter 4. Properties
- 4.1. Bias and variance
- 4.2. Particular case 1: cluster sampling
- 4.3. Particular case 2: census of population U[superscript A]
- 4.4. Particular case 3: census of population U[superscript B]
- 4.5. Use of weighted links
- 4.6. Improvement of the estimator
- 4.6.1. Conditional approach
- 4.6.2. Use of sufficient statistics
- 4.6.3. Obtaining optimal weighted links
- Chapter 5. Other Generalisations
- 5.1. Two-stage indirect sampling
- 5.2. Arbitrary aspect in the formation of clusters
- 5.2.1. Extreme case (i): population U[superscript B] with a single cluster of size M[superscript B]
- 5.2.2. Extreme case (ii): population U[superscript B] with M[superscript B] clusters of size 1
- 5.2.3. General case and discussion
- 5.3. Elimination of the notion of clusters
- Chapter 6. Application in Longitudinal Surveys
- 6.1. Sampling design of SLID
- 6.1.1. Initial sample
- 6.1.2. Supplementary sample
- 6.2. Estimation weights
- 6.3. Use of the GWSM in obtaining estimation weights
- 6.4. Variance estimation
- 6.5. Use of another type of links
- Chapter 7. GWSM and Calibration
- 7.1. Review of calibration
- 7.2. GWSM with calibration
- 7.3. Particular case 1: auxiliary variables coming from U[superscript A]
- 7.4. Particular case 2: auxiliary variables coming from U[superscript B]
- 7.4.1. Application of calibration before GWSM
- 7.4.2. Application of calibration after GWSM
- 7.4.3. Comparison of the two approaches
- 7.4.4. Simulation study
- Chapter 8. Non-response
- 8.1. Types of non-response
- 8.2. Correcting response rates
- 8.3. Response probabilities
- 8.4. Treatment of non-response within s[superscript A]
- 8.5. Treatment of cluster non-response
- 8.6. Treatment of unit non-response
- 8.7. Treatment of errors in links identification
- 8.7.1. Record linkage
- 8.7.2. Modelling
- 8.7.3. Estimating the proportion of links
- 8.7.4. Calibration
- 8.7.5. Proportional adjustments
- Chapter 9. GWSM and Record Linkage
- 9.1. Record linkage
- 9.2. GWSM associated with record linkage
- 9.2.1. Approach 1: use all non-zero links with their respective linkage weights
- 9.2.2. Approach 2: use all non-zero links above a given threshold
- 9.2.3. Approach 3: choose the links randomly
- 9.2.4. Some remarks
- 9.3. Simulation study
- 9.3.1. Data used
- 9.3.2. Sampling plan
- 9.3.3. Results and discussion
- Chapter 10. Conclusion
- Notations
- Bibliography
- Index
