Bayesian analysis of null intercept errors-in-variables regression for pretest/post-test data

Journal of Applied Statistics

Volumn 30, Issue 1, 2003, Pages 3-12

  Aoki, Reiko ^a   Achcar, Jorge A ^a   Bolfarine, Heleno ^a   Singer, Julio M ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN ANALYSIS;

EID: 0037244427     PISSN: 02664763     EISSN: None     Source Type: Journal    
DOI: 10.1080/0266476022000018466     Document Type: Article

References (10)

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3. BOX, G. E. & TIAO, G. C. (1973) Bayesian Inference in Statistical Analysis (New York, Addison-Wesley).
4. CHIB, S. & GREENBERG, E. (1995) Understanding the Metropolis-Hastings algorithm, The American Statistician, 49(4), pp. 327-335,
5. GELFAND, A. (1996) Model determination using sampling-based methods. In: W. R. GILKS, S. RICHARDSON AND D. J. SPIEGELHALTER (Eds) Practical Markov Chain Monte Carlo (London, Chapman and Hall).
6. GELMAN, A. & RUBIN, D. B. (1992) Inference from iterative simulation using multiple sequences, Statistical Science, 7(4), pp. 457-511.
7. GEWEKE, J. (1993) Bayesian treatment of the independent Student-t linear model, Journal of Applied Econometrics, 8, S19-S40.
8. SINGER, J. M. & ANDRADE, D. F. (1997) Regression models for the analysis of pretest-posttest data, Biometrics, 53, pp. 729-735.
9. SMITH, A. F. M. & ROBERTS, G. O. (1993) Bayesian computation via the Gibbs sampler and related Markow chain Monte Carlo methods, Journal of the Royal Statistical Society, B, 55(l), pp. 3-23.
10. WONG, M. Y. (1995) Robustness of testing the equality of two slopes in simple linear structural relationships, Journal of Applied Statistics, 2(l), pp. 3-8.