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Volumn 39, Issue 2, 2002, Pages 203-225

Bayesian and likelihood methods for fitting multilevel models with complex level-1 variation

Author keywords

Adaptive Metropolis Hastings sampling; Educational data; Heteroscedasticity; Hierarchical modelling; IGLS; Markov chain Monte Carlo (MCMC); Maximum likelihood methods; MCMC efficiency; Multilevel modelling; RIGLS

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ITERATIVE METHODS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; POLYNOMIALS; SAMPLING;

EID: 0037188238     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(01)00058-5     Document Type: Article
Times cited : (41)

References (22)
  • 13
    • 70350471314 scopus 로고
    • Multilevel mixed linear model analysis using iterative generalised least squares
    • (1986) Biometrika , vol.73 , pp. 43-56
    • Goldstein, H.1
  • 14
    • 0000650620 scopus 로고
    • Restricted unbiased iterative generalised least squares estimation
    • (1989) Biometrika , vol.76 , pp. 622-623
    • Goldstein, H.1
  • 17
    • 0000759236 scopus 로고
    • How many iterations in the Gibbs sampler
    • Bernardo, J.M., Berger, J.O., Dawid, A.P., Smith, A.F.M. (Eds.), Oxford University Press, Oxford
    • (1992) Bayesian Statistics , vol.4 , pp. 763-773
    • Raftery, A.E.1    Lewis, S.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.