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Antithesis or regression?*

Published online by Cambridge University Press:  24 October 2008

John W. Tukey
Affiliation:
Princeton University

Abstract

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Type
Research Notes
Copyright
Copyright © Cambridge Philosophical Society 1957

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References

REFERENCES

(1)Cochran, W. G. Use of IBM equipment in an investigation of the ‘truncated normal’ problem. Proceedings of the Research Forum (International Business Machines Corp., New York, 08 1946).Google Scholar
(2)Cochran, W. G.Sampling techniques (New York, 1953), especially pp. 148–9.Google Scholar
(3)Hammersley, J. M. and Mauldon, J. G.General principles of antithetic variates. Proc. Camb. Phil. Soc. 52 (1956), 476–81.Google Scholar
(4)Hammersley, J. M. and Morton, K. W.A new Monte Carlo technique: antithetic variates. Proc. Camb. Phil. Soc. 52 (1956), 449–75.Google Scholar
(5)Hansen, M. H., Hurwitz, W. N. and Madow, W. G.Sample survey methods and theory (New York, 1953), especially pp. 459–60 and 464 of vol. 1.Google Scholar
(6)Kahn, H. Use of different Monte Carlo sampling techniques. Symposium on Monte Carlo methods (ed. Meyer, H.) (New York, 1956), pp. 146–90.Google Scholar
(7)Kahn, H. and Marshall, A. W.Methods of reducing sample size in Monte Carlo calculations. J. Oper. Res. Soc. Amer. 1 (1953), 263–71.Google Scholar
(8)Mantel, N.An extension of the Buffon needle problem. Ann. Math. Statist. 24 (1954), 674–7.CrossRefGoogle Scholar
(9)Yates, F.Sampling methods for censuses and surveys (London, 1949), especially pp. 155, 220, 258.Google Scholar