An application of the discrimination information measure to the theory of testing hypotheses Part II

  • Sadao Ikeda


Probability Density Function Testing Hypothesis Testing Problem Sample Space Powerful Test 
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  1. [9]
    S. Ikeda, “A remark on the convergence of Kullback-Leibler’s mean information,”Ann. Inst. Stat. Math., Vol. 12 (1960), pp. 81–88.CrossRefGoogle Scholar
  2. [10]
    D. A. S. Fraser, ”Non-parametric theory, scale and location parameters,”Can. Jour. Math., Vol. 6 (1953), pp. 46–68.MathSciNetGoogle Scholar
  3. [11]
    E. L. Lehmann and C. Stein, “On the theory of some non-parametric hypotheses,”Ann. Math. Stat., Vol. 20 (1949), pp. 28–45.CrossRefMathSciNetGoogle Scholar

Copyright information

© Institute of Statistical Mathematics 1961

Authors and Affiliations

  • Sadao Ikeda
    • 1
  1. 1.Dept. Math., College of Sci, and Eng.Nihon Univ.USA

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