Influence analysis for the generalized Waring regression model

Rivas, Luisa; Galea, Manuel

Abstract

In this paper, we consider a regression model under the generalized Waring distribution for modeling count data. We develop and implement local influence diagnostic techniques based on likelihood displacement. Also we develop case-deletion methods. The generalized Waring regression model is presented as a mixture of the Negative Binomial and the Beta II distributions, and it is compared to the Negative Binomial and Waring regression models. Estimation is performed by maximum likelihood function. The influence measures developed in this paper are applied to a Spanish football league data set. Empirical results show that the generalized Waring regression model performs better when compared to the Negative Binomial and Waring regression models. Technical details are presented in the Appendix.

Más información

Título según WOS: ID WOS:000488114300001 Not found in local WOS DB
Título de la Revista: JOURNAL OF APPLIED STATISTICS
Editorial: TAYLOR & FRANCIS LTD
Fecha de publicación: 2019
DOI:

10.1080/02664763.2019.1670148

Notas: ISI