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34 та иш

Иш: Bootstrap for the sample mean and for<i>U</i>-statistics of mixing and near-epoch dependent processes

  1. Convergence of Probability Measures

    Patrick Billingsley

    Китоб199911 иқтибос
    ABI

  2. Introduction to strong mixing conditions

    Richard C. Bradley

    Китоб20079 иқтибос
    ABI

  3. Convergence of Probability Measures

    J. F. C. Kingmán, P. Billingsley

    Мақола19699 иқтибос
    ABI

  4. Limit theorems for functionals of mixing processes with applications to 𝑈-statistics and dimension estimation

    Svetlana Borovkova, Robert Burton, Herold Dehling

    Мақола20016 иқтибос
    ABI

  5. The Use of Subseries Values for Estimating the Variance of a General Statistic from a Stationary Sequence

    Edward Carlstein

    Мақола19866 иқтибос
    ABI

  6. Some Asymptotic Theory for the Bootstrap

    Peter J. Bickel, David A. Freedman

    Мақола19816 иқтибос
    ABI

  7. Moment bounds for stationary mixing sequences

    Ryozo Yokoyama

    Мақола19806 иқтибос
    ABI

  8. Central limit theorem and the bootstrap for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" display="inline" overflow="scroll"><mml:mi>U</mml:mi></mml:math>-statistics of strongly mixing data

    Herold Dehling, Martin Wendler

    Мақола20095 иқтибос
    ABI

  9. Consistency of general bootstrap methods for degenerate <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si26.gif" display="inline" overflow="scroll"><mml:mi>U</mml:mi></mml:math>-type and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si27.gif" display="inline" overflow="scroll"><mml:mi>V</mml:mi></mml:math>-type statistics

    Anne Leucht, Michael H. Neumann

    Мақола20095 иқтибос
    ABI

  10. Bootstrapping the sample means for stationary mixing sequences

    Qi-Man Shao, Yu Hao

    Мақола19935 иқтибос
    ABI

  11. Random Quadratic Forms and the Bootstrap for U-Statistics

    Herold Dehling, Thomas Mikosch

    Мақола19945 иқтибос
    ABI

  12. Some Limit Theorems for Stationary Processes

    И. А. Ибрагимов

    Мақола19625 иқтибос
    ABI

  13. On the blockwise bootstrap for empirical processes for stationary sequences

    Magda Peligrad

    Мақола19984 иқтибос
    ABI

  14. A Class of Statistics with Asymptotically Normal Distribution

    Wassily Hoeffding

    Боб19924 иқтибос
    ABI

  15. Limiting behavior of U-statistics for stationary, absolutely regular processes

    Ken -ichi Yoshihara

    Мақола19764 иқтибос
    ABI

  16. On the Bootstrap of $U$ and $V$ Statistics

    Miguel A. Arcones, Evarist Giné

    Мақола19923 иқтибос
    ABI

  17. Ergodic Properties of Invariant Measures for Piecewise Monotonic Transformations

    Franz Hofbauer, Gerhard Keller

    Боб19823 иқтибос
    ABI

  18. The bootstrap of the mean for strong mixing sequences under minimal conditions

    Dragan Radulović

    Мақола19963 иқтибос
    ABI

  19. Resampling Methods for Dependent Data

    Somdeb Lahiri

    Китоб20033 иқтибос
    ABI

  20. Law of the iterated logarithm for U-statistics of weakly dependent observations

    Herold Dehling, Martin Wendler

    Препринт20093 иқтибос
    ABI

  21. Moment Inequalities for the Maximum Cumulative Sum

    R. J. Serfling

    Мақола19703 иқтибос
    ABI

  22. A Maximal Inequality and Dependent Marcinkiewicz-Zygmund Strong Laws

    Emmanuel Rio

    Мақола19953 иқтибос
    ABI

  23. A Class of Statistics with Asymptotically Normal Distribution

    Wassily Hoeffding

    Мақола19483 иқтибос
    ABI

  24. Ergodic properties of invariant measures for piecewise monotonic transformations

    Franz Hofbauer, Gerhard Keller

    Мақола19822 иқтибос
    ABI

  25. Nonlinear System Theory: The Volterra / Wiener Approach

    Wilson J. Rugh

    Китоб19812 иқтибос
    ABI