Multiple imputation for multivariate data with missing and below-threshold measurements: Time-series concentrations of pollutants in the arctic

Biometrics

Volumn 57, Issue 1, 2001, Pages 22-33

  Hopke, Philip K ^a   Liu, Chuanhai ^b   Rubin, Donald B ^c  

^a CLARKSON UNIVERSITY   (United States)

^b LUCENT TECHNOLOGIES   (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

Bayesian methods; Coarsened data; Data augmentation algorithm; Gibbs sampler; Incomplete data; Markov chain Monte Carlo; Missing data; Multivariate integrated moving average; Multivariate normal; Seasonal effects

Indexed keywords

BAYESIAN NETWORKS; CHEMICAL DETECTION; MARKOV PROCESSES;

BAYESIAN METHODS; COARSENED DATA; DATA AUGMENTATION ALGORITHMS; GIBBS SAMPLERS; INCOMPLETE DATA; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MISSING DATA; MOVING AVERAGES; MULTIVARIATE INTEGRATED MOVING AVERAGE; MULTIVARIATE NORMAL; SEASONAL EFFECTS;

TIME SERIES;

ATMOSPHERIC POLLUTION; PARTICULATE MATTER; STATISTICAL ANALYSIS; TIME SERIES;

ALGORITHM; ARCTIC; ARTICLE; DATA ANALYSIS; MEASUREMENT; MULTIVARIATE ANALYSIS; PARTICULATE MATTER; POLLUTANT; SEASONAL VARIATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS;

EID: 0035103119     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00022.x     Document Type: Article

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