A generalized URN problem and its applications (original) (raw)

Access this article

Log in via an institution

Subscribe and save

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Literature Cited

  1. N. L. Johnson and S. Kotz, Urn Models and Their Application. An Approach to Modern Discrete Probability, Wiley, New York (1977).
    Google Scholar
  2. G. M. Fikhtengol'ts, Differential and Integral Calculus [in Russian], Vol. 2, Nauka, Moscow (1969).
    Google Scholar
  3. M. B. Nevel'son and R. Z. Khas'minskii (Hasminskii), Stochastic Approximation and Recursive Estimation, Am. Math. Soc., Providence (1976).
    Google Scholar
  4. I. I. Gikhman (Gihman) and A. V. Skorokhod (Skorohod), The Theory of Stochastic Processes, Vol. I, Springer, New York (1974).
    Google Scholar
  5. Yu. M. Kaniovskii, P. S. Knopov, and Z. V. Nekrylova, Limit Theorems for Stochastic Programming Processes [in Russian], Naukova Dumka, Kiev (1980).
    Google Scholar
  6. V. F. Gaposhkin and T. P. Krasulina, “On the law of the iterated logarithm in stochastic approximation processes,” Teor. Veroyatn. Primen.,19, No. 4, 879–886 (1974).
    Google Scholar

Download references

Authors

  1. B. Artur
  2. Yu. M. Ermol'ev
  3. Yu. M. Kaniovskii

Additional information

Translated from Kibernetika, No. 1, pp. 49–56, January–February, 1983.

Rights and permissions

About this article

Cite this article

Artur, B., Ermol'ev, Y.M. & Kaniovskii, Y.M. A generalized URN problem and its applications.Cybern Syst Anal 19, 61–71 (1983). https://doi.org/10.1007/BF01070110

Download citation

Keywords