The Performance of the Gradient-Like Influence Measure in Generalized Linear Mixed Models

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Abstract

A gradient-like statistic recently introduced as an influence measure has been showed to work well in large sample, thanks to its asymptotic properties. In this work, through small-scale simulation schemes, the performnance of such a diagnostic measure is further investigated in terms of concordance with the main influence measures in outlier identification. The simulation studies are performed by using Generalized Linear Mixed Models.
Lingua originaleEnglish
Titolo della pubblicazione ospiteAdvances in Statistical Models for Data Analysis
Pagine107-116
Numero di pagine10
Stato di pubblicazionePublished - 2015

Serie di pubblicazioni

NomeSTUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

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All Science Journal Classification (ASJC) codes

  • Mathematics(all)
  • Computer Science(all)
  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)
  • Social Sciences(all)

Cita questo

Enea, M., & Plaia, A. (2015). The Performance of the Gradient-Like Influence Measure in Generalized Linear Mixed Models. In Advances in Statistical Models for Data Analysis (pagg. 107-116). (STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION).