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Characterization of the normal law by the property of stochastic independence of the sample mean and the first central moment for the sample

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Literature cited

  1. Yu. V. Linnik, Matem. Zametki,7, No. 4, 383–388 (1970).

    Google Scholar 

  2. Yu. V. Linnik, Vest. Leningrad. Gos. Univ., Ser. Matem. Mekhan. Astron., No. 1, 35–48 (1956).

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  3. A. A. Zinger, Teor. Veroyat. i Prim.,3, No. 3, 265–284 (1958).

    Google Scholar 

  4. A. M. Kagan, Yu. V. Linnik, and C. Radhakrishna Rao, Characterization Problems of Mathematical Statistics [in Russian], Nauka, Moscow (1972).

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Authors
  1. Yu. V. Borovskikh
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Translated from Zapiski Nauchnykh Seminarov Leningradskogo Instituta im. V. A. Steklova Akademii Nauk SSSR, Vol. 29, pp. 51–56, 1972.

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Borovskikh, Y.V. Characterization of the normal law by the property of stochastic independence of the sample mean and the first central moment for the sample. J Math Sci 3, 755–760 (1975). https://doi.org/10.1007/BF01090287

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  • DOI: https://doi.org/10.1007/BF01090287

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