Objectivity and conditionality in frequentist inference

Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science

Volumn , Issue , 2009, Pages 276-304

  Cox, David ^a   Mayo, Deborah G ^b  

^a Nuffield   (United Kingdom)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84920859481     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511657528     Document Type: Chapter

References (13)

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3. Birnbaum, A. (1962), “On the Foundations of Statistical Inference,” Journal of the American Statistical Association, 57: 269–306.
4. Cox, D.R. (1958), “Some Problems Connected with Statistical Inference,” Annals of Mathematical Statistics, 29: 357–72.
5. Cox, D.R. (1990), “Role of Models in Statistical Analysis,” Statistical Science, 5: 169–74.
6. Cox, D.R. (2006), Principles of Statistical Inference, Cambridge University Press, Cambridge.
7. Cox, D.R., and Brandwood, L. (1959), “On a Discriminatory Problem Connected with the Works of Plato,” Journal of the Royal Statistical Society B, 21: 195–200.
8. Cox, D.R. and Hinkley, D.V. (1974), Theoretical Statistics, Chapman and Hall, London.
9. Dawid, A.P., Stone, M. and Zidek, J.V. (1973), “Marginalization Paradoxes in Bayesian and Structural Inference,” (with discussion), Journal of the Royal Statistical Society B, 35: 189–233.
10. Fisher, R.A. (1935), Design of Experiments, Oliver and Boyd, Edinburgh.
11. Hacking, I. (1965), Logic of Statistical Inference, Cambridge University Press, Cambridge.
12. Lehmann, E.L. (1986), Testing Statistical Hypotheses, 2nd ed., Wiley, New York.
13. Mayo, D.G. and Cox, D.R. (2006), “Frequentist Statistics as a Theory of Inductive Inference,” in J. Rojo (ed.), Optimality: The Second Erich L. Lehmann Symposiun, Lecture Notes-Monograph Series, Institute of Mathematical Statistics (IMS), 49: 77–97.