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On characterization of the kullback-leibler mean information for continuous probability distributions

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References

  1. S. Kullback,Information Theory and Statistics, John Wiley and Sons, 1959.

  2. S. Ikeda, “An application of the discrimination information measure to the theory of testing hypotheses, Part II,”Ann. Inst. Stat. Math., Vol. 13 (1961), pp. 61–89.

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  3. S. Ikeda, “Necessary conditions for the convergence of Kullback-Leibler’s mean information,” to be published soon.

  4. S. Ikeda, “A remark on the converagence of Kullback-Leibler’s mean information,”Ann. Inst. Stat. Math., Vol. 12 (1960), pp. 81–88.

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  5. S. Ikeda, “A note on the characterization of Shannon-Wiener’s measure of information,”Ann. Inst. Stat. Math., Vol. 13 (1962), pp. 259–266.

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  6. S. Ikeda, “Continuity and characterization of Shannon-Wiener information measure for continuous probability distributions,”Ann. Inst. Stat. Math., Vol. 11 (1959), pp. 131–144.

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Authors and Affiliations

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

    Sadao Ikeda

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  1. Sadao Ikeda
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Ikeda, S. On characterization of the kullback-leibler mean information for continuous probability distributions. Ann Inst Stat Math 14, 73–79 (1962). https://doi.org/10.1007/BF02868625

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  • DOI: https://doi.org/10.1007/BF02868625

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