An Investigation of Methods for Missing Data in Hierarchical Models for Discrete Data
Hierarchical models are applicable to modeling data from complex surveys or longitudinal data when a clustered or multistage sample design is employed. The focus of this thesis is to investigate inference for discrete hierarchical models in the presence of missing data. This thesis is divided into t...
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| Language: | en |
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2011
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| Online Access: | http://hdl.handle.net/10012/5813 |