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.
|Title of host publication||Advances in Statistical Models for Data Analysis|
|Number of pages||10|
|Publication status||Published - 2015|
|Name||STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION|
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)
- Social Sciences(all)
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).