6533b7ddfe1ef96bd1275416
RESEARCH PRODUCT
A gradient-based deletion diagnostic measure for generalized linear mixed models
Antonella PlaiaMarco Eneasubject
Statistics and ProbabilityMathematical optimizationConcordance05 social sciencesContext (language use)Data structure01 natural sciencesMeasure (mathematics)Generalized linear mixed model010104 statistics & probabilityInfluence outliers deletion diagnostics GLMM gradient statisticGradient based algorithm0502 economics and businessOutlierApplied mathematics0101 mathematicsSettore SECS-S/01 - Statistica050205 econometrics Mathematicsdescription
ABSTRACTA gradient-statistic-based diagnostic measure is developed in the context of the generalized linear mixed models. Its performance is assessed by some real examples and simulation studies, in terms of ability in detecting influential data structures and of concordance with the most used influence measures.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-03-17 | Communications in Statistics - Theory and Methods |