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General weak laws of large numbers for Bootstrap sample means

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  • Einmahl, J.H.J.

    (Tilburg University, School of Economics and Management)

  • Rosalsky, A.

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  • Einmahl, J.H.J. & Rosalsky, A., 2005. "General weak laws of large numbers for Bootstrap sample means," Other publications TiSEM 8b68606c-7dc0-4d8e-9397-9, Tilburg University, School of Economics and Management.
  • Handle: RePEc:tiu:tiutis:8b68606c-7dc0-4d8e-9397-9b160b532372
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    File URL: https://pure.uvt.nl/ws/portalfiles/portal/683105/GENERALW.PDF
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    References listed on IDEAS

    as
    1. S. Ejaz Ahmed & T.-C. Hu & Andrei I. Volodin, 2001. "On the rate of convergence of bootstrapped means in a Banach space," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 25, pages 1-7, January.
    2. Csörgo, Sándor, 2003. "Rates in the complete convergence of bootstrap means," Statistics & Probability Letters, Elsevier, vol. 64(4), pages 359-368, October.
    3. Athreya, K. B., 1983. "Strong law for the bootstrap," Statistics & Probability Letters, Elsevier, vol. 1(3), pages 147-150, March.
    4. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    5. Tien-Chung Hu & R. L. Taylor, 1997. "On the strong law for arrays and for the bootstrap mean and variance," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 20, pages 1-8, January.
    6. Sándor Csörgő & Andrew Rosalsky, 2003. "A survey of limit laws for bootstrapped sums," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2003, pages 1-27, January.
    7. Arenal-Gutiérrez, Eusebio & Matrán, Carlos & Cuesta-Albertos, Juan A., 1996. "Unconditional Glivenko-Cantelli-type theorems and weak laws of large numbers for bootstrap," Statistics & Probability Letters, Elsevier, vol. 26(4), pages 365-375, March.
    8. Csörgo, Sándor, 1992. "On the law of large numbers for the bootstrap mean," Statistics & Probability Letters, Elsevier, vol. 14(1), pages 1-7, May.
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