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Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions

Author

Listed:
  • Meredith Goldwasser

    (Harvard School of Public Health)

  • Lu Tian

    (Harvard School of Public Health)

  • L. J. Wei

    (Harvard School of Public Health)

Abstract

No abstract is available for this item.

Suggested Citation

  • Meredith Goldwasser & Lu Tian & L. J. Wei, 2004. "Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions," Harvard University Biostatistics Working Paper Series 1007, Berkeley Electronic Press.
    • Handle: RePEc:bep:hvdbio:1007
    Note: oai:bepress.com:harvardbiostat-1007
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    File URL: http://www.bepress.com/cgi/viewcontent.cgi?article=1007&context=harvardbiostat
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    References listed on IDEAS

    as
    1. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    2. Lai, Tze Leung & Ying, Zhiliang, 1988. "Stochastic integrals of empirical-type processes with applications to censored regression," Journal of Multivariate Analysis, Elsevier, vol. 27(2), pages 334-358, November.
    3. A. W. van der Vaart, 1995. "Efficiency. of infinite dimensional M‐ estimators," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 49(1), pages 9-30, March.
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    Cited by:

    1. Yuhyun Park & Lu Tian & L. J. Wei, 2004. "One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring," Harvard University Biostatistics Working Paper Series 1012, Berkeley Electronic Press.
    2. Larry F. León & Ray Lin & Keaven M. Anderson, 2020. "On Weighted Log-Rank Combination Tests and Companion Cox Model Estimators," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(2), pages 225-245, July.

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