Minimum Hellinger Distance Estimation for Finite Mixtures of Poisson Regression Models and Its Applications

Biometrics

Volumn 59, Issue 4, 2003, Pages 1016-1026

  Lu, Zudi ^a   Van Hui, Yer ^b   Lee, Andy H ^c  

^a INSTITUTE OF SYSTEMS SCIENCE   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c CURTIN UNIVERSITY   (Australia)

Author keywords

Finite mixtures of Poisson regression models; Maximum likelihood estimation; Minimum Hellinger distance; Outliers; Robustness

Indexed keywords

INTELLIGENT SYSTEMS; MONTE CARLO METHODS; POISSON DISTRIBUTION; REGRESSION ANALYSIS;

DISTANCE ESTIMATION; FINITE MIXTURE OF POISSON REGRESSION MODEL; FINITE MIXTURES; HELLINGER DISTANCE; MAXIMUM-LIKELIHOOD ESTIMATION; MINIMUM HELLINGE DISTANCE; MODEL APPLICATION; OUTLIER; POISSON REGRESSION MODELS; ROBUSTNESS;

MAXIMUM LIKELIHOOD ESTIMATION;

BIOMETRY;

ANALYTIC METHOD; ARTICLE; ASSAY; BIOMETRY; DATA ANALYSIS; FINITE ELEMENT ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MINIMUM HELLINGER DISTANCE ESTIMATION; MODEL; MONTE CARLO METHOD; PARAMETRIC TEST; POISSON DISTRIBUTION; REGRESSION ANALYSIS;

EID: 0346733297     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2003.00117.x     Document Type: Article

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