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Theory of Statistical Estimation: The 1925 Paper

  • David Hinkley
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

  1. Efron, B. (1975). “Defining the Curvature of a Statistical Problem (With Applications to Second Order Efficiency) (With Discussion),” Annals of Statistics, 3. 1189–1242.MathSciNetzbMATHCrossRefGoogle Scholar
  2. Efron, B. and D.V. Hinkley (1978). “Assessing the Accuracy of the Maximum Likelihood Estimator: Observed Versus Expected Fisher Information,” Biometrika, 65, 457–487.MathSciNetzbMATHCrossRefGoogle Scholar
  3. 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.Google Scholar
  4. Rao, C.R. (1962). “Efficient Estimates and Optimum Inference Procedures in Large Samples,” Journal of the Royal Statistical Society, Series B, 24, 46–72.Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 1980

Authors and Affiliations

  • David Hinkley

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