A 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.

Enea, M., Plaia, A. (2016). A gradient-based deletion diagnostic measure for generalized linear mixed models. COMMUNICATIONS IN STATISTICS. THEORY AND METHODS, 46(4), 1972-1982 [10.1080/03610926.2015.1030956].

A gradient-based deletion diagnostic measure for generalized linear mixed models

ENEA, Marco;PLAIA, Antonella
2016-01-01

Abstract

A 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.
Settore SECS-S/01 - Statistica
Enea, M., Plaia, A. (2016). A gradient-based deletion diagnostic measure for generalized linear mixed models. COMMUNICATIONS IN STATISTICS. THEORY AND METHODS, 46(4), 1972-1982 [10.1080/03610926.2015.1030956].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/180656
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