Journal
STATISTICA NEERLANDICA
Volume 65, Issue 3, Pages 337-351Publisher
WILEY-BLACKWELL
DOI: 10.1111/j.1467-9574.2011.00488.x
Keywords
local influence; maximum likelihood estimation; model specification; percentages; proportions; rates; residual analysis
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Funding
- CNPq
- FAPESP
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We consider the issue of performing residual and local influence analyses in beta regression models with varying dispersion, which are useful for modelling random variables that assume values in the standard unit interval. In such models, both the mean and the dispersion depend upon independent variables. We derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes. An application using real data is presented and discussed.
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