Introduction to Yates and Cochran (1938) The Analysis of Groups of Experiments

  • D. R. Cox
Part of the Springer Series in Statistics book series (SSS)


F. Yates (1901–1994) and W.G. Cochran (1910–1980) were two of the most influential and conceptually original statisticians of the middle portion of the twentieth century. Although Cochran worked for some years in Yate’s department at Rothamsted Experimental Station this is their only joint publication.


Experimental Error Sugar Beet Error Variance Pool Estimate Grand Rapid 
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  1. Cochran, W.G. (1954). The combination of estimates from different experiments. Biometrics, 10, 101–129.MathSciNetCrossRefGoogle Scholar
  2. Cochran, W.G. and Carroll, S.P. (1953). A sampling investigation of the efficiency of weighting inversely as the estimated variance. Biometrics, 9, 447–459.CrossRefGoogle Scholar
  3. Cochran, W.G. and Cox, G.M. ( 1950, 2nd ed., 1957). Experimental Designs. Wiley, New York.Google Scholar
  4. Tukey, J.W. (1949). One degree of freedom for nonadditivity. Biometrics, 5, 232–242.MathSciNetCrossRefGoogle Scholar
  5. Yates, F. (1933). The analysis of replicated experiments when the field results are incomplete. Empire J. Exper. Agric. 1, 129–142.Google Scholar


  1. Cochran, W.G. (1937). J. Roy. Statist. Soc., Suppl. 4, 102 - 18.CrossRefGoogle Scholar
  2. Fisher, R.A. (1935). The Design of Experiments. Edinburgh.Google Scholar
  3. Immer, F.R., Hayes, H.K., and Powers, Le Roy (1934). J. Amer. Soc. Agron., 26, 403–19.CrossRefGoogle Scholar
  4. Lewis, A.H. and Trevains, D. (1934). Empire J. Exper. Agric., 2, 244.Google Scholar
  5. Rep. Rothamst. Exp. Sta. (1934), p. 222.Google Scholar
  6. Yates, F. (1933). Empire J. Exper. Agric., 1, 129–42.Google Scholar

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© Springer Science+Business Media New York 1997

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  • D. R. Cox

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