메뉴 건너뛰기




Volumn 10, Issue 4, 2005, Pages 477-493

Inequality constrained analysis of variance: A Bayesian approach

Author keywords

Bayes factors; Gibbs sampler; Inequality constraints; Model selection; Posterior model probabilities

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; BAYES THEOREM; HUMAN; PSYCHOLOGICAL MODEL;

EID: 30544434873     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/1082-989X.10.4.477     Document Type: Article
Times cited : (154)

References (39)
  • 1
    • 33845722419 scopus 로고
    • Factor analysis and AIC
    • Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317-332.
    • (1987) Psychometrika , vol.52 , pp. 317-332
    • Akaike, H.1
  • 2
    • 0001176072 scopus 로고    scopus 로고
    • An information criterion for parameters under a simple order restriction
    • Anraku, K. (1999). An information criterion for parameters under a simple order restriction. Biometrika, 86, 141-152.
    • (1999) Biometrika , vol.86 , pp. 141-152
    • Anraku, K.1
  • 6
    • 0042107603 scopus 로고    scopus 로고
    • Objective Bayesian methods for model selection: Introduction and comparison
    • P. Lahiri (Ed.). Beachwood, OH: Institute of Mathematical Statistics Lecture Notes
    • Berger, J., & Pericchi, L. (2001). Objective Bayesian methods for model selection: introduction and comparison. In P. Lahiri (Ed.), Monograph series: Vol. 38. Model selection (pp. 135-207). Beachwood, OH: Institute of Mathematical Statistics Lecture Notes.
    • (2001) Monograph Series: Vol. 38. Model Selection , vol.38 , pp. 135-207
    • Berger, J.1    Pericchi, L.2
  • 8
    • 34250108028 scopus 로고
    • Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
    • Bozdogan, H. (1987). Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions. Psychometrika, 52, 345-370.
    • (1987) Psychometrika , vol.52 , pp. 345-370
    • Bozdogan, H.1
  • 11
  • 13
    • 0142041445 scopus 로고    scopus 로고
    • Repeated-measures contrasts for "multiple-pattern" hypotheses
    • Furr, R. M., & Rosenthal, R. (2003). Repeated-measures contrasts for "multiple-pattern" hypotheses. Psychological Methods, 8, 275-293.
    • (2003) Psychological Methods , vol.8 , pp. 275-293
    • Furr, R.M.1    Rosenthal, R.2
  • 14
    • 84950453504 scopus 로고
    • Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling
    • Gelfand, A. E., Smith, A. F. M., & Lee, T. (1992). Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling. Journal of the American Statistical Association, 87, 523-532.
    • (1992) Journal of the American Statistical Association , vol.87 , pp. 523-532
    • Gelfand, A.E.1    Smith, A.F.M.2    Lee, T.3
  • 16
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statistical Science, 7, 457-511.
    • (1992) Statistical Science , vol.7 , pp. 457-511
    • Gelman, A.1    Rubin, D.B.2
  • 17
    • 0035528602 scopus 로고    scopus 로고
    • Confirmatory latent class analysis: Model selection using Bayes factors and (pseudo) likelihood ratio statistics
    • Hoijtink, H. (2001). Confirmatory latent class analysis: Model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563-588.
    • (2001) Multivariate Behavioral Research , vol.36 , pp. 563-588
    • Hoijtink, H.1
  • 21
    • 15544367861 scopus 로고    scopus 로고
    • Bayesian model selection using encompassing priors
    • Klugkist, I., Kato, B., & Hoijtink, H. (2005). Bayesian model selection using encompassing priors. Statistica Neerlandica, 59, 57-69.
    • (2005) Statistica Neerlandica , vol.59 , pp. 57-69
    • Klugkist, I.1    Kato, B.2    Hoijtink, H.3
  • 23
    • 0000810338 scopus 로고
    • A statistical paradox
    • Lindley, D. V. (1957). A statistical paradox. Biometrika, 44, 187-192.
    • (1957) Biometrika , vol.44 , pp. 187-192
    • Lindley, D.V.1
  • 29
    • 0010595064 scopus 로고    scopus 로고
    • Maximum likelihood estimation under order restriction by the prior feedback method
    • Robert, C. P., & Hwang, J. T. G. (1996). Maximum likelihood estimation under order restriction by the prior feedback method. Journal of the American Statistical Association, 91, 167-172.
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 167-172
    • Robert, C.P.1    Hwang, J.T.G.2
  • 31
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies for causal effects
    • Rosenbaum, P., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41-55.
    • (1983) Biometrika , vol.70 , pp. 41-55
    • Rosenbaum, P.1    Rubin, D.B.2
  • 32
    • 84949193513 scopus 로고
    • Reducing bias in observational studies using subclassification on the propensity score
    • Rosenbaum, P., & Rubin, D. B. (1984). Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79, 516-524.
    • (1984) Journal of the American Statistical Association , vol.79 , pp. 516-524
    • Rosenbaum, P.1    Rubin, D.B.2
  • 34
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461-464.
    • (1978) The Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 35
    • 0003053548 scopus 로고
    • Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods
    • Smith, A. F. M., & Roberts, G. O. (1993). Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods. Journal of the Royal Statistical Society: Series B, 55, 3-23.
    • (1993) Journal of the Royal Statistical Society: Series B , vol.55 , pp. 3-23
    • Smith, A.F.M.1    Roberts, G.O.2
  • 39
    • 0039026915 scopus 로고
    • Posterior odds ratios for selected regression hypotheses
    • J. M. Bernardo, M. H. DeGroot, D. V. Lindley, & A. F. M. Smith (Eds.). Valencia, CA: University Press
    • Zellner, A., & Siow, A. (1980). Posterior odds ratios for selected regression hypotheses. In J. M. Bernardo, M. H. DeGroot, D. V. Lindley, & A. F. M. Smith (Eds.), Bayesian statistics (pp. 585-603). Valencia, CA: University Press.
    • (1980) Bayesian Statistics , pp. 585-603
    • Zellner, A.1    Siow, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.