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

Marco Enea; Antonella Plaia; Marco Enea

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

Risultato della ricerca: Article › peer review

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.

Lingua originale	English
pagine (da-a)	1972-1982
Numero di pagine	11
Rivista	COMMUNICATIONS IN STATISTICS. THEORY AND METHODS
Volume	46
Stato di pubblicazione	Published - 2016

All Science Journal Classification (ASJC) codes

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title = "A gradient-based deletion diagnostic measure for generalized linear mixed models",

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.",

author = "Marco Enea and Antonella Plaia and Marco Enea",

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AU - Plaia, Antonella

AU - Enea, Marco

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AB - 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.

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EP - 1982

JO - Communications in Statistics - Theory and Methods

JF - Communications in Statistics - Theory and Methods

SN - 0361-0926

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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