Skip to main content
Log in

Large deviation theorems in the problem of testing two simple hypotheses

  • Published:
Ukrainian Mathematical Journal Aims and scope

Abstract

Limit theorems on large deviations of the logarithm of the likelihood ratio are proved for the problem of distinguishing two simple hypotheses in the general scheme of statistical experiments under the null hypothesis and under an alternative hypothesis. The theorems obtained are applied to the investigation of a decrease in the probability of errors of the first and second kind for the Neumann-Pearson criterion.

This is a preview of subscription content, log in via an institution to check access.

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. R. R. Bahadur,Some limit Theorems in Statistics, SIAM, Philadelphia (1971).

    Google Scholar 

  2. H. Chernoff, “Large sample theory: parametric case,”Ann. Math. Statist.,27, No. 1, 1–22 (1956).

    Google Scholar 

  3. A. A. Borovkov and A. A. Mogul'skii,Large Deviations and Testing of Statistical Hypothesis [in Russian], Nauka, Novosibirsk (1992).

    Google Scholar 

  4. L. Birge, “Vitesses maximales de decroissance des erreurs et test optimaux associes,”Z. Warscheinlichkeitstheor. Verw. Geb.,55, No. 2, 261–273 (1981).

    Google Scholar 

  5. E. A. Arutyunyan,Rate as a Function of Reliability in the Optimal Data Transfer [in Russian], Author's Abstract of Doctor Degree Thesis (Physics and Mathematics), Moscow (1991).

  6. Yu. N. Lin'kov, “Large deviations in the problem of distinguishing the counting processes,”Ukr. Mat. Zh.,45, No. 11, 1514–1521 (1993)

    Google Scholar 

  7. Yu. N. Lin'kov,Asymptotic Methods in the Statistics of Random Processes [in Russian], Naukova Dumka, Kiev (1993).

    Google Scholar 

  8. R. S. Ellis,Entropy, Large Deviations, and Statistical Mechanics, Springer, Berlin (1985).

    Google Scholar 

  9. J. T. Cox and D. Griffeath, “Large deviation for Poisson systems of independent random walks,”Z. Warscheinlichkeitstheor. Verw. Geb.,6, No. 4, 543–558 (1984).

    Google Scholar 

  10. R. T. Rockafellar,Convex Analysis, Princeton University Press, Princeton (1970).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 47, No. 2, pp. 227–235, February, 1995.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lin'kov, Y.N., Medvedeva, M.I. Large deviation theorems in the problem of testing two simple hypotheses. Ukr Math J 47, 267–277 (1995). https://doi.org/10.1007/BF01056717

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01056717

Keywords

Navigation