Using geocoded survey data to improve the accuracy of multilevel small area synthetic estimates
This paper examines the secondary data requirements for multilevel small area synthetic estimation (ML-SASE). This research method uses secondary survey data sets as source data for statistical models. The parameters of these models are used to generate data for small areas. The paper assesses the i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2016-01-08.
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| Subjects: | |
| Online Access: | Get fulltext |