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Wigner quasi-probability densities and characterization of the Gaussian distribution

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Abstract

A new characterization of the Gaussian distribution was given by R. Hudson in 1974. A sharpening and some extensions of this result are proposed, and connections with other characterizations of the Gaussian distribution are given. Linnik's “ridge principle” is substantially used. Bibliography: 11 titles.

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References

  1. S. Helgason,The Radon Transform (Progr. Math., 5), Birkhäuser, Boston (1980).

    Google Scholar 

  2. F. Natterer,The Mathematics of Computerized Tomography, Wiley, Chichester (1986).

    Google Scholar 

  3. A. Kagan, Yu. V. Linnik, and S. Rao,Characterization Problems in Mathematical Statistic, [in Russian], Nauka, Moscow (1972).

    Google Scholar 

  4. A. Zinger and A. Kagan, “Estimates for least squares, nonquadratic damages, and the Gaussian distribution,”Teor. Veroyatn. Primen.,36, 34–41 (1991).

    MathSciNet  Google Scholar 

  5. R. Hudson, “When is the Wigner quasi-probability density non-negative?”Rep. Math. Phys.,6, 249–252 (1974).

    MATH  MathSciNet  Google Scholar 

  6. Yu. V. Linnik,Distribution of Probability Laws [in Russian], Leningrad State University, Leningrad (1960).

    Google Scholar 

  7. F. Soto and P. Claverie, “When is the Wigner function of multidimensional systems nonnegative?”J. Math. Phys.,24, 97–100 (1983).

    Article  MathSciNet  Google Scholar 

  8. A. Jansson, “A note on Hudson's theorem about functions with non-negative Wigner distributions,”J. Math. Anal.,15, 170–176 (1984).

    Google Scholar 

  9. A. Zinger, “Positiveness of Wigner quasi-probability density and characterization of Gaussian distribution,” IMA Preprint No. 1271 (1994).

  10. E. T. Whittaker and G. N. Watson,A Course of Modern Analysis, Cambridge (1927).

  11. L. Klebanov, “When are two special linear forms of independent random vectors identically distributed?” in:Trans. Eighth Prague Conf. Inform. Theory, Stat. Dec. Func., Rand. Proc., Vol. A, Academia, Prague (1978), pp. 355–362.

    Google Scholar 

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Translated fromZapiski Nauchnykh Seminarov POMI, Vol. 228, 1996, pp. 142–153.

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Zinger, A.A. Wigner quasi-probability densities and characterization of the Gaussian distribution. J Math Sci 93, 341–348 (1999). https://doi.org/10.1007/BF02364818

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  • DOI: https://doi.org/10.1007/BF02364818

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