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Theory of Statistical Estimation: The 1925 Paper

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Part of the Lecture Notes in Statistics book series (LNS,volume 1)

Abstract

As Fisher himself suggests, the 1925 paper [CP 42] is a compact refinement of the 1922 paper [CF 18]. It is short, sometimes terse, but monumental in concept. It was, I believe, largely ignored for more than thirty years.

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References

  • Efron, B. (1975). “Defining the Curvature of a Statistical Problem (With Applications to Second Order Efficiency) (With Discussion),” Annals of Statistics, 3. 1189–1242.

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  • Efron, B. and D.V. Hinkley (1978). “Assessing the Accuracy of the Maximum Likelihood Estimator: Observed Versus Expected Fisher Information,” Biometrika, 65, 457–487.

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  • Rao, C.R. (1961). “Asymptotic Efficiency and Limiting Information.” In Proceedings of Fourth Berkeley Symposium on Mathematical Statistics and Probability ( Jerzy Newman, ed.). Berkeley: University of California Press, 532–545.

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  • Rao, C.R. (1962). “Efficient Estimates and Optimum Inference Procedures in Large Samples,” Journal of the Royal Statistical Society, Series B, 24, 46–72.

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  • Rao, C.R. (1963). “Criteria of Estimation in Large Samples,” Sankhya, 25, 189–206.

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© 1980 Springer-Verlag Berlin Heidelberg

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Hinkley, D. (1980). Theory of Statistical Estimation: The 1925 Paper. In: Fienberg, S.E., Hinkley, D.V. (eds) R.A. Fisher: An Appreciation. Lecture Notes in Statistics, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-6079-0_10

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  • DOI: https://doi.org/10.1007/978-1-4612-6079-0_10

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-90476-4

  • Online ISBN: 978-1-4612-6079-0

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