A Statistician’s Progress from Berlin to Chapel Hill

  • Wassily Hoeffding


Indian Statistical Institute Military Family International Statistical Institute Stateless Person Communist Party Member 
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Publications and References

  1. [1]
    Borovskikh, Yu V. (1979) Approximation of U-statistics distribution (in Russian). Dokl. Akad. Nauk Ukrain. SSR 9, 695–698.MathSciNetGoogle Scholar
  2. [2]
    Brown, L. D. (1971) Non-local asymptotic optimality of appropriate likelihood ratio tests. Ann. Math. Statist. 42, 1206–1240.MathSciNetMATHCrossRefGoogle Scholar
  3. [3]
    Cramer, H. and Leadbetrer, M. R. (1967) Stationary and Related Stochastic Processes. Wiley, New York.MATHGoogle Scholar
  4. [4]
    Daniels, H. E. and Kendall, M. G. (1947) The significance of rank correlations where parental correlation exists. Biometrika 34, 197–208.MathSciNetMATHGoogle Scholar
  5. [5]
    Halmos, P. R. (1946) The theory of unbiased estimation. Ann. Math. Statist. 17, 34–43.MathSciNetMATHCrossRefGoogle Scholar
  6. [6]
    Höffding, W. (1940) Maszstabinvariante Korrelationstheorie. Schriften des Math. Inst. und des Inst. für angewandte Math. der Univ. Berlin 5 (3), 181–233.Google Scholar
  7. [7]
    Höffding, W. (1947) On the distribution of the rank correlation coefficient τ when the variates are not independent. Biometrika 34, 184–196.Google Scholar
  8. [8]
    Hoeffding, W. (1948) A class of statistics with asymptotically normal distribution. Ann. Math. Statist. 19, 293–325.MathSciNetMATHCrossRefGoogle Scholar
  9. [9]
    Hoeffding, W. (1964) On a theorem of V. M. Zolotarev (in Russian). Teor. V.rojatnost. i Primenen. 9, 96–99. (English translation: Theory Prob. Appl. 9, 89–91.)MathSciNetMATHGoogle Scholar
  10. [10]
    Hoeffding, W. (1965) Asymptotically optimal tests for multinominal distributions. Ann. Math. Statist. 36, 369–401.MathSciNetMATHCrossRefGoogle Scholar
  11. [11]
    Hoeffding, W. and Robbins, H. (1948) The central limit theorem for dependent random variables. Duke Math. J. 15, 773–780.MathSciNetMATHCrossRefGoogle Scholar
  12. [12]
    Hoeffding, W. and Wolfowitz, J. (1958) Distinguishability of sets of distributions. Ann. Math. Statist. 29, 700–718.MathSciNetMATHCrossRefGoogle Scholar
  13. [13]
    Ibragimov, I. A. and Has’minskn, R. Z. (1979) Asymptotic Theory of Estimation (in Russian). Nauka, MoscowMATHGoogle Scholar
  14. [14]
    Petrov, V. V. (1972) Sums of Independent Random Variables (in Russian). Nauka, Moscow. (English translation: Springer, New York, 1975).Google Scholar
  15. [15]
    Pitman, E. J. G. (1979) Some Basic Theory for Statistical Inference. Chapman and Hall, London.Google Scholar
  16. [16]
    Sanov, I. N. (1957) On the probability of large deviations of random variables (in Russian). Mat. Sb. N. S. 42 (84), 11–44. (English translation: Select. Transl. Math. Statist. Prob. 1 (1961), 213–244.)MathSciNetGoogle Scholar
  17. [17]
    Sparre Andersen, E. (1953) On the fluctuations of sums of random variables. Math. Scand. 1, 263–285.MathSciNetMATHGoogle Scholar

Copyright information

© Applied Probability Trust 1982

Authors and Affiliations

  • Wassily Hoeffding

There are no affiliations available

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