6533b7d3fe1ef96bd1260c30
RESEARCH PRODUCT
The Performance of the Gradient-Like Influence Measure in Generalized Linear Mixed Models
Marco EneaAntonella Plaiasubject
Work (thermodynamics)Identification (information)GLMM outliers diagnostics gradient statisticOutlierEconometricsApplied mathematicsSettore SECS-S/01 - StatisticaMeasure (mathematics)StatisticGeneralized linear mixed modelMathematicsLarge sampledescription
A gradient-like statistic, recently introduced as an influence measure, has been proven to work well in large sample, thanks to its asymptotic properties. In this work, through small-scale simulation schemes, the performance of such a diagnostic measure is further investigated in terms of concordance with the main influence measures used for outlier identification. The simulation studies are performed by using generalized linear mixed models (GLMMs).
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-01-01 |