Modeling strategies for complex hierarchical and overdispersed data in the life sciences

Modeling strategies for complex hierarchical and overdispersed data in the life sciences

In this work, we study the so-called combined models, generalized linear mixed models with extension to allow for overdispersion, in the context of genetics and breeding. Such flexible models accommodates cluster-induced correlation and overdispersion through two separate sets of random effects and...

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Bibliographic Details
Main Author: Oliveira, Izabela Regina Cardoso de
Other Authors: Dias, Carlos Tadeu dos Santos
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2014
Subjects:
Combined model
Distribuição gama
Distribuição Poisson
Distribuição Weibull
Efeito aleatório
Gamma distribution
Generalized linear mixed model
Herdabilidade
Heritability
Modelo combinado
Modelo linear misto generalizado
Negative variance components
Poisson distribution
Random effect
Variâncias negativas
Weibull distribution
Online Access:http://www.teses.usp.br/teses/disponiveis/11/11134/tde-12082014-105135/

Internet

http://www.teses.usp.br/teses/disponiveis/11/11134/tde-12082014-105135/

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