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Probability Theory on Vector Spaces II pp 102–107Cite as

Convergence of two-sample empirical processes

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Part of the book series: Lecture Notes in Mathematics ((LNM,volume 828))

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References

  1. P.Billingsley, Convergence of probability measures, Wiley, 1967.

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  2. T.Byczkowski, T.Inglot, The invariance principle for vector valued random variables with applications to functional random limit theorems, to appear in Lecture Notes in Statistics.

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  3. S. Csörgö, On weak convergence of the empirical process with random sample size, Acta Sci. Math.Szeged. 36 (1974), 17–25.

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  4. R.M. Dudley, Central limit theorems for empirical measures, Ann.Prob.6 (1978), 899–929.

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  6. M. Fisz, Probability theory and mathematical statistics, (1963, third edition) John Wiley, New York.

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  7. A. Renyi, On the theory of order statistics, Acta Math. Acad.Sci.Hung. 4 (1953), 191–227.

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  8. S.J. Wang, On the limiting distribution of the ratio of two empirical distributions, Acta Math.Sinica 5 (1955).

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Author information

Authors and Affiliations

  1. Institute of Mathematics, Wrocław Technical University, 50-370, Wrocław, Poland

    T. Inglot

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  1. T. Inglot
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A. Weron

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© 1980 Springer-Verlag

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Inglot, T. (1980). Convergence of two-sample empirical processes. In: Weron, A. (eds) Probability Theory on Vector Spaces II. Lecture Notes in Mathematics, vol 828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0097397

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  • DOI: https://doi.org/10.1007/BFb0097397

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-10253-3

  • Online ISBN: 978-3-540-38350-5

  • eBook Packages: Springer Book Archive

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