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Unbiased estimators in the sense of Lehmann and their discrimination rates (II): Multi-parameter cases

  • Hisataka Kuboki
Article
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Summary

The notion ofdiscrimination rate of any unbiased estimator in the sense of Lehmann is, as defined by the author (1982,Ann. Inst. Statist. Math.,34, A, 19–37), extended to multi-parameter cases.

Keywords

Partial Derivative Loss Function Unit Length Linear Regression Model Risk Function 

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References

  1. [1]
    Kuboki, H. (1982. Unbiased estimaors in the sense of Lehmann and their discrimination rates,Ann. Inst. Statist. Math.,34, A, 19–37.MathSciNetCrossRefGoogle Scholar
  2. [2]
    Lehmann, E. L. (1959).Testing Statistical Hypotheses, John Wiley & Sons, New York.zbMATHGoogle Scholar
  3. [3]
    Pitman, E. J. G. (1979).Some Basic Theory for Statistical Inference, Chapman and Hall, London.zbMATHGoogle Scholar

Copyright information

© The Institute of Statistical Mathematics, Tokyo 1982

Authors and Affiliations

  • Hisataka Kuboki

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