Abstract
As stated in the Preface, it is the aim of this book to trace the creation of classical statistics, and to show that it was principally the work of two men, Fisher and Neyman. Since the main story is somewhat lost in the details, let us now review their contributions to hypothesis testing, estimation, design, and the philosophy of statistics.
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Notes
- 1.
For references to early work of Ramsey and de Finetti, see Forcina (1982).
- 2.
Recent advances in computer technology make randomization tests based on the actual values practically feasible, although not necessarily more efficient.
References
Bennett, J. H. (Ed.) (1990). Statistical Inference and Analysis: Selected Correspondence of R. A. Fisher. Clarendon Press, Oxford.
Forcina, A. (1982). Gini’s contributions to the theory of inference. International Statistical Review 50, 65-70.
Hampel, F. R.; Ronchetti, E. M.; Rousseeuw, P. J.; and Stahel, W. A. (1986). Robust Statistics: The Approach Based on Influence Functions. Wiley, New York.
Hotelling, H. and Pabst, M. R. (1936). Rank correlation and tests of significance involving no assumption of normality. Annals of Mathematical Statistics 7, 29-43.
Jureckova, J. and Sen, P. K. (1996). Robust Statistical Procedures. Wiley, New York.
Lehmann, E. L. (2009). Parametrics vs. nonparametrics: Two alternative methodologies. Journal of Nonparametric Statistics 21, 397-405.
Neyman, J. (1934). On the two different aspects of the representative method: the method of stratified sampling and the method of purposive selection. Journal of the Royal Statistical Society 97, 558-625.
Neyman, J. and Pearson, E. S. (1928). On the use and interpretation of certain test criteria. Biometrika 20A, 175-240, 263-295.
Neyman, J. and Pearson, E. S. (1933a). On the problem of the most efficient tests of statistical hypotheses. Philosophical Transactions of the Royal Society (A) 231, 289-337.
Neyman, J. and Pearson, E. S. (1933b). On the testing of statistical hypothesis in relation to probabilities a priori. Proceedings of the Cambridge Philosophical Society 24, 492-510.
Pitman, E. J. G. (1947). Lecture Notes on Nonparametric Statistics (Unpublished). University of North Carolina, Chapel Hill.
Staudte, R. G. and Sheather, S. J. (1990). Robust Estimation and Testing. Wiley, New York.
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Lehmann, E.L. (2011). Epilog. In: Fisher, Neyman, and the Creation of Classical Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9500-1_7
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