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Error distribution in sampled-data measurements

  • Applied Topics in Control Theory, Mathematical Cybernetics, and Statistics
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Abstract

Joint error distributions are estimated for sampled-data measurements.

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References

  1. V. V. Buldygin and Yu. V. Kozachenko, “On sub-Gaussian random variables,” Ukr. Mat. Zh.,32, No. 6, 723–729 (1980).

    Google Scholar 

  2. V. V. Buldygin and Yu. V. Kozachenko, “Sub-Gaussian random vectors and processes,” Teor. Veroyatn. Mat. Statistika, No. 36, 10–22 (1987).

    Google Scholar 

  3. Yu. V. Kozachenko, “Local properties of sampling functions for one class of stochastic processes,” Teor. Veroyatn. Mat. Statistika, No. 1, 109–116 (1970).

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  4. Ju. V. Kozacenko and V. V. Buldygin, “Levy-Baxter type theorems and strong sub-Gaussian random processes,” Probability Theory and Mathematical Statistics, Vilnius (1987), pp. 87–102.

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Translated from Vychislitel'naya i Prikladnaya Matematika, No. 73, pp. 66–70, 1992.

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Zaitsev, I.I., Kozachenko, Y.V. Error distribution in sampled-data measurements. J Math Sci 71, 2678–2681 (1994). https://doi.org/10.1007/BF02114045

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  • DOI: https://doi.org/10.1007/BF02114045

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