Multivariate one-sided tests for multivariate normal and mixed effects regression models with missing data, semi-continuous data and censored data
In many applications, statistical models for real data often have natural constraints or restrictions on some model parameters. For example, the growth rate of a child is expected to be positive, and patients receiving anti-HIV treatments are expected to exhibit a decline in their viral loads. Hypot...
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| Language: | English |
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University of British Columbia
2017
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| Online Access: | http://hdl.handle.net/2429/64122 |