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The Logic of Tests of Significance

Published online by Cambridge University Press:  01 April 2022

Roger Carlson
Roger Carlson*
Affiliation:
University of Missouri—Kansas City
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Abstract

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Type
Discussion
Information
Philosophy of Science , Volume 43 , Issue 1 , March 1976 , pp. 116 - 128
Copyright
Copyright © 1976 by the Philosophy of Science Association

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References

Berkson, J. “Tests of Significance Considered as Evidence.” Journal of the American Statistical Association 37 (1942): 325–335.CrossRefGoogle Scholar
Berkson, J. “Experience with Tests of Significance: A Reply to Professor R. A. Fisher.” Journal of the American Statistical Association 38 (1943): 242–246.CrossRefGoogle Scholar
Bowley, A. L. “Discussion on Dr. Neyman's Paper.” Journal of the Royal Statistical Society 97 (1934). Reprinted in A Selection of Early Statistical Papers of J. Neyman. Berkeley: University of California Press, 1967. Pages 131–133.Google Scholar
Cochran, W. G. “Footnote by William G. Cochran.” Science 156 (1967): 1460–1462.Google Scholar
Dempster, A. P. Review of Logic of Statistical Inference, by Ian Hacking. Journal of the American Statistical Association 61 (1966): 1233–1235.CrossRefGoogle Scholar
Fisher, R. A. Statistical Methods for Research Workers. (13th ed.) Edinburgh: Oliver and Boyd, 1958.Google Scholar
Fisher, R. A. Statistical Methods and Scientific Inference. (2nd ed.) New York: Hafner, 1959.Google Scholar
Fisher, R. A. The Design of Experiments. (7th ed.) Edinburgh: Oliver and Boyd, 1960.Google ScholarPubMed
Fisher, R. A. “Note on Dr. Berkson's Criticism of Tests of Significance.” Journal of the American Statistical Association 38 (1943): 103–104.CrossRefGoogle Scholar
Fisz, M. Probability Theory and Mathematical Statistics. (3rd ed.) New York: John Wiley and Sons, 1963.Google Scholar
Jevons, W. S. The Principles of Science. New York: Dover, 1958.Google Scholar
Kempthorne, O. and Folks, L. Probability, Statistics and Data Analysis. Ames: Iowa State University Press, 1971.Google Scholar
Lehmann, E. L. Testing Statistical Hypotheses. New York: John Wiley and Sons, 1959.Google Scholar
Mosteller, F. and Rourke, R. E. K. Sturdy Statistics. Reading: Addison-Wesley, 1973.Google Scholar
Pearson, E. S. “The Neyman-Pearson Story: 1926–34.” In Research Papers in Statistics: Festschrift for J. Neyman. Edited by David, F. N. New York: John Wiley and Sons, 1966. Pages 1–23.Google Scholar
Pearson, E. S. “Studies in the History of Probabilities and Statistics. XIV Some Incidents in the Early History of Biometry and Statistics, 1890–94.” Biometrika 52 (1965): 3–18.CrossRefGoogle ScholarPubMed
Scheffe', H. “Statistical Inference in the Non-Parametric Case.” Annals of Mathematical Statistics 14 (1943): 305–332.CrossRefGoogle Scholar
Spielman, S. “The Logic of Tests of Significance.” Philosophy of Science 41 (1974): 211–226.CrossRefGoogle Scholar
Yule, G. U. An Introduction to the Theory of Statistics. (5th ed.) London: Charles Griffin, 1919.Google Scholar