The robust estimation method for a finite mixture of Poisson mixed-effect models

Computational Statistics and Data Analysis

Volumn 56, Issue 6, 2012, Pages 1994-2005

  Xiang, Liming ^a   Yau, Kelvin K W ^b   Lee, Andy H ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c CURTIN UNIVERSITY   (Australia)

Author keywords

Finite mixture; Minimum Hellinger distance; Non parametric maximum likelihood; Robustness

Indexed keywords

DATA SETS; FINITE MIXTURES; GENERALIZED LINEAR MIXED MODELS; HELLINGER DISTANCE; MISSPECIFICATION; MIXED-EFFECT MODELS; NON-PARAMETRIC; NUMERICAL INTEGRATIONS; PARAMETRIC DISTRIBUTIONS; PARAMETRIC FORMS; RANDOM EFFECTS; RESIDUAL MAXIMUM LIKELIHOOD; ROBUST ESTIMATION METHOD; ROBUST ESTIMATORS; URINARY TRACT INFECTIONS;

BIOMETRICS; ESTIMATION; MAGNETOHYDRODYNAMICS; MAXIMUM LIKELIHOOD ESTIMATION; MIXTURES; NORMAL DISTRIBUTION; NUMERICAL METHODS; POISSON DISTRIBUTION; RANDOM PROCESSES; ROBUSTNESS (CONTROL SYSTEMS);

PARAMETER ESTIMATION;

EID: 84857652127     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2011.12.006     Document Type: Article

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