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

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish
Title of host publicationAdvances in Statistical Models for Data Analysis
Pages107-116
Number of pages10
Publication statusPublished - 2015

Publication series

NameSTUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

All Science Journal Classification (ASJC) codes

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

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    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 (pp. 107-116). (STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION).