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Volumn 35, Issue 2, 2009, Pages 201-214

Small area population prediction via hierarchical models

Author keywords

Markov Chain Monte Carlo (MCMC); Population projection; Spatial models

Indexed keywords


EID: 77949526933     PISSN: 07140045     EISSN: 14920921     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (13)
  • 1
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    • Besag, J.1    Kooperang, C.2
  • 2
    • 0032273615 scopus 로고    scopus 로고
    • General methods for monitoring convergence of iterative simulations
    • Brooks, S.P., and Gelman, A. (1998). General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics, 7, 4, 434-455.
    • (1998) Journal of Computational and Graphical Statistics , vol.7 , Issue.4 , pp. 434-455
    • Brooks, S.P.1    Gelman, A.2
  • 3
    • 0002799511 scopus 로고    scopus 로고
    • Model choice: A minimum posterior predictive loss approach
    • Gelfand, A.E., and Ghosh, S.K. (1998). Model choice: A minimum posterior predictive loss approach. Biometrika, 85, 1, 1-11.
    • (1998) Biometrika , vol.85 , Issue.1 , pp. 1-11
    • Gelfand, A.E.1    Ghosh, S.K.2
  • 4
    • 84867086419 scopus 로고    scopus 로고
    • Prior distributions for variance parameters in hierarchical models
    • Gelman, A. (2006). Prior distributions for variance parameters in hierarchical models. Bayesian Analysis, 1, 3, 515-533.
    • (2006) Bayesian Analysis , vol.1 , Issue.3 , pp. 515-533
    • Gelman, A.1
  • 5
    • 0001455988 scopus 로고    scopus 로고
    • Gilks, W.R.; Richardson, S.; Spieghalter, D.J. Markov Chain Monte Carlo in Practice. New York: Chapman & Hall
    • Mollie, A. (1996). Bayesian mapping of disease. In: Gilks, W.R.; Richardson, S.; Spieghalter, D.J. Markov Chain Monte Carlo in Practice. New York: Chapman & Hall, 359-379
    • (1996) Bayesian Mapping of Disease , pp. 359-379
    • Mollie, A.1
  • 6
    • 84979330299 scopus 로고
    • Generalized exponential growth models: A bayesian approach
    • Migon, H., and Gamerman, D. (1993). Generalized exponential growth models: A bayesian approach. Journal of Forecasting, 12, 573-584.
    • (1993) Journal of Forecasting , vol.12 , pp. 573-584
    • Migon, H.1    Gamerman, D.2
  • 7
    • 84993813873 scopus 로고    scopus 로고
    • Bayesian spatial models for small area estimation of proportions
    • Moura, F.A.S., and Migon, H.S. (2002). Bayesian spatial models for small area estimation of proportions. Statistical Modeling: An International Journal, 2, 3, 183-201.
    • (2002) Statistical Modeling: An International Journal , vol.2 , Issue.3 , pp. 183-201
    • Moura, F.A.S.1    Migon, H.S.2
  • 8
    • 0036545241 scopus 로고    scopus 로고
    • Small area estimation - New developments and directions
    • Pfeffermann, D. (2002). Small area estimation - New developments and directions. International Statistical Review, 70, 1, 125-143.
    • (2002) International Statistical Review , vol.70 , Issue.1 , pp. 125-143
    • Pfeffermann, D.1
  • 9
    • 33845784701 scopus 로고    scopus 로고
    • Multi-level modeling under informative sampling
    • Pfeffermann, D., Moura, F.A.S. and Silva, P.L.N. (2006). Multi-level modeling under informative sampling. Biometrika, 93, 4, 943-959.
    • (2006) Biometrika , vol.93 , Issue.4 , pp. 943-959
    • Pfeffermann, D.1    Moura, F.A.S.2    Silva, P.L.N.3
  • 10
    • 38349052038 scopus 로고    scopus 로고
    • Small-area estimation under informative probability sampling of areas and within the selected areas
    • Pfeffermann, D., and Sverchkov, M. (2007). Small-area estimation under informative probability sampling of areas and within the selected areas. Journal of American Statistical Association, 102, 1427-1439.
    • (2007) Journal of American Statistical Association , vol.102 , pp. 1427-1439
    • Pfeffermann, D.1    Sverchkov, M.2
  • 11


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.