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34 ta ish

Ish: 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

    Kitob199911 iqtibos
    ABI

  2. Introduction to strong mixing conditions

    Richard C. Bradley

    Kitob20079 iqtibos
    ABI

  3. Convergence of Probability Measures

    J. F. C. Kingmán, P. Billingsley

    Maqola19699 iqtibos
    ABI

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

    Svetlana Borovkova, Robert Burton, Herold Dehling

    Maqola20016 iqtibos
    ABI

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

    Edward Carlstein

    Maqola19866 iqtibos
    ABI

  6. Some Asymptotic Theory for the Bootstrap

    Peter J. Bickel, David A. Freedman

    Maqola19816 iqtibos
    ABI

  7. Moment bounds for stationary mixing sequences

    Ryozo Yokoyama

    Maqola19806 iqtibos
    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

    Maqola20095 iqtibos
    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

    Maqola20095 iqtibos
    ABI

  10. Bootstrapping the sample means for stationary mixing sequences

    Qi-Man Shao, Yu Hao

    Maqola19935 iqtibos
    ABI

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

    Herold Dehling, Thomas Mikosch

    Maqola19945 iqtibos
    ABI

  12. Some Limit Theorems for Stationary Processes

    И. А. Ибрагимов

    Maqola19625 iqtibos
    ABI

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

    Magda Peligrad

    Maqola19984 iqtibos
    ABI

  14. A Class of Statistics with Asymptotically Normal Distribution

    Wassily Hoeffding

    Bob19924 iqtibos
    ABI

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

    Ken -ichi Yoshihara

    Maqola19764 iqtibos
    ABI

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

    Miguel A. Arcones, Evarist Giné

    Maqola19923 iqtibos
    ABI

  17. Ergodic Properties of Invariant Measures for Piecewise Monotonic Transformations

    Franz Hofbauer, Gerhard Keller

    Bob19823 iqtibos
    ABI

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

    Dragan Radulović

    Maqola19963 iqtibos
    ABI

  19. Resampling Methods for Dependent Data

    Somdeb Lahiri

    Kitob20033 iqtibos
    ABI

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

    Herold Dehling, Martin Wendler

    Preprint20093 iqtibos
    ABI

  21. Moment Inequalities for the Maximum Cumulative Sum

    R. J. Serfling

    Maqola19703 iqtibos
    ABI

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

    Emmanuel Rio

    Maqola19953 iqtibos
    ABI

  23. A Class of Statistics with Asymptotically Normal Distribution

    Wassily Hoeffding

    Maqola19483 iqtibos
    ABI

  24. Ergodic properties of invariant measures for piecewise monotonic transformations

    Franz Hofbauer, Gerhard Keller

    Maqola19822 iqtibos
    ABI

  25. Nonlinear System Theory: The Volterra / Wiener Approach

    Wilson J. Rugh

    Kitob19812 iqtibos
    ABI