GAMLSSs with applications to zero inflated and hierarquical data
The generalized additive models for location, scale and shape (GAMLSS) developed by Rigby and Stasinopoulos (2005) are a general class of univariate regression models that do not have the response distribution restricted to the exponential family as do the generalized linear and additive models,...
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| Language: | English |
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Universidade de São Paulo
2017
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| Online Access: | http://www.teses.usp.br/teses/disponiveis/11/11134/tde-06042018-150012/ |