The use of auxiliary information in the linear least-squares prediction approach to cluster sampling in a finite population
Linear least-squares prediction methods are applied to cluster (two-stage) sampling problems in a finite population where auxiliary information is available. Two regression models which describe the behavior of the second-stage units and which utilize the auxiliary information are considered. For on...
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| Format: | Others |
| Language: | en |
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Virginia Polytechnic Institute and State University
2019
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| Online Access: | http://hdl.handle.net/10919/87316 |