A robust fit for generalized partial linear partial additive models
In regression studies, semi-parametric models provide both flexibility and interpretability. In this thesis, we focus on a robust model fitting algorithm for a family of semi-parametric models – the Generalized Partial Linear Partial Addi- tive Models (GAPLMs), which is a hybrid of the widely-used G...
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| Language: | English |
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University of British Columbia
2013
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| Online Access: | http://hdl.handle.net/2429/44647 |