Discussion: Posterior probabilities and experimental designs for discriminating between regression models

Technometrics

Volumn 38, Issue 4, 1996, Pages 314-317

  Atkinson, A C ^a  

^a LONDON SCHOOL OF ECONOMICS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79951882569     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.1996.10484539     Document Type: Article

References (10)

1. Atkinson, A. C. (1972), “Planning Experiments to Detect Inadequate Regression Models,” Biometrika, 59, 275-293.
2. Atkinson, A. C. (1978), “Posterior Probabilities for Choosing a Regression Model,” Biometrika, 65, 39-48.
3. Atkinson, A. C. (1981), “A Comparison of Two Criteria for the Design of Experiments for Discriminating Between Models,” Technometrics, 23, 301-305.
4. s-Optimum Designs Applied to Determining the Order of a Chemical Reaction,” unpublished manuscript.
5. Atkinson, A. C., and Donev, A. N. (1992), Optimum Experimental Designs, Oxford, U.K.: Oxford University Press.
6. Fedorov, V. V. (1972), Theory of Optimal Experiments, New York: Academic Press.
7. O’Hagan, A. (1994), Kendall’s Advanced Theory of Statistics, Volume 2B: Bayesian Inference, London: Edward Arnold.
8. Ponce de Leon, A. M., and Atkinson, A. C. (1991), “Optimum Experimental Design for Discriminating Between Two Rival Models in the Presence of Prior Information,” Biometrika, 78, 601-608.
9. Ponce de Leon, A. M., and Atkinson, A. C. (1992), “The Design of Experiments to Discriminate Between Two Rival Generalized Linear Models,” in Advances in GLIM and Statistical Modelling: Proceedings of the GLIM92 Conference, Munich, eds. L. Fahrmeir, B. Francis, R. Gilchrist, and G. Tutz, New York: SpringerVerlag, pp. 159-164.
10. Smith, A. F. M., and Spiegelhalter, D. J. (1980), “Bayes Factors and Choice Criteria for Linear Models,” Journal of the Royal Statistical Society, Ser. B, 42, 213-220.