6533b7d2fe1ef96bd125dbc8
RESEARCH PRODUCT
Influence diagnostics for generalized linear mixed models: a gradient-like statistic
Marco EneaAntonella Plaiasubject
GLMM outliers diagnostics gradient statisticSettore SECS-S/01 - Statisticadescription
In the literature, many influence measures proposed for Generalized Linear Mixed Models (GLMMs) require the information matrix that can be difficult to calculate. In the present paper, a known influence measure is approximated to get a simpler form, for which the information matrix is no more necessary. The proposed measure is showed to have a form similar to the gradient statistic, recently introduced. Good performances have been obtained through simulation studies.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-01-01 |