Uniform convergence of distribution functions
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- by Bennett Eisenberg and Shi Xin Gan
- Proc. Amer. Math. Soc. 88 (1983), 145-146
- DOI: https://doi.org/10.1090/S0002-9939-1983-0691296-X
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Abstract:
Necessary and sufficient conditions are given for uniform convergence of probability distribution functions.References
- Yuan Shih Chow and Henry Teicher, Probability theory, Springer-Verlag, New York-Heidelberg, 1978. Independence, interchangeability, martingales. MR 513230
- F. J. Dyson, Fourier transforms of distribution functions, Canad. J. Math. 5 (1953), 554–558. MR 57362, DOI 10.4153/cjm-1953-062-x
- Tatsuo Kawata, Fourier analysis in probability theory, Probability and Mathematical Statistics, No. 15, Academic Press, New York-London, 1972. MR 0464353
Bibliographic Information
- © Copyright 1983 American Mathematical Society
- Journal: Proc. Amer. Math. Soc. 88 (1983), 145-146
- MSC: Primary 60B10
- DOI: https://doi.org/10.1090/S0002-9939-1983-0691296-X
- MathSciNet review: 691296