Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach

Computational Statistics and Data Analysis

Volumn 55, Issue 2, 2011, Pages 1071-1085

  Pryseley, Assam ^a   Tchonlafi, Clotaire ^b   Verbeke, Geert ^c   Molenberghs, Geert ^b,c  

^a DUKE NUS MEDICAL SCHOOL   (Singapore)

^b HASSELT UNIVERSITY   (Belgium)

^c KU LEUVEN   (Belgium)

Author keywords

Gaussian and Non Gaussian data; Generalized linear mixed model; Linear mixed model; Marginal model; Negative variance component; Random effects model

Indexed keywords

GENERALIZED LINEAR MIXED MODELS; LINEAR MIXED MODELS; MARGINAL MODEL; NON-GAUSSIAN DATA; RANDOM EFFECTS MODEL; VARIANCE COMPONENTS;

BAYESIAN NETWORKS; GAUSSIAN DISTRIBUTION; HIERARCHICAL SYSTEMS; STATISTICAL METHODS;

BIT ERROR RATE;

EID: 78049244376     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2010.09.002     Document Type: Article

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