IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v26y1997i2p163-176.html
   My bibliography  Save this article

Smoothed bootstrap confidence intervals with discrete data

Author

Listed:
  • Guerra, Rudy
  • Polansky, Alan M.
  • Schucany, William R.

Abstract

No abstract is available for this item.

Suggested Citation

  • Guerra, Rudy & Polansky, Alan M. & Schucany, William R., 1997. "Smoothed bootstrap confidence intervals with discrete data," Computational Statistics & Data Analysis, Elsevier, vol. 26(2), pages 163-176, December.
  • Handle: RePEc:eee:csdana:v:26:y:1997:i:2:p:163-176
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(97)00026-1
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alan M. Polansky & William. R. Schucany, 1997. "Kernel Smoothing to Improve Bootstrap Confidence Intervals," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(4), pages 821-838.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jan G. de Gooijer & Ao Yuan, 2011. "Kernel-Smoothed Conditional Quantiles of Correlated Bivariate Discrete Data," Tinbergen Institute Discussion Papers 11-011/4, Tinbergen Institute.
    2. Ghosh, Santu & Polansky, Alan M., 2014. "Smoothed and iterated bootstrap confidence regions for parameter vectors," Journal of Multivariate Analysis, Elsevier, vol. 132(C), pages 171-182.
    3. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    2. Santu Ghosh & Alan M. Polansky, 2022. "Large-Scale Simultaneous Testing Using Kernel Density Estimation," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 808-843, August.
    3. Matthew A. Masten & Alexandre Poirier, 2020. "Inference on breakdown frontiers," Quantitative Economics, Econometric Society, vol. 11(1), pages 41-111, January.
    4. Polansky, Alan M., 2001. "Bandwidth selection for the smoothed bootstrap percentile method," Computational Statistics & Data Analysis, Elsevier, vol. 36(3), pages 333-349, May.
    5. David M. Kaplan & Matt Goldman, 2013. "IDEAL Quantile Inference via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1315, Department of Economics, University of Missouri.
    6. Ghosh, Santu & Polansky, Alan M., 2014. "Smoothed and iterated bootstrap confidence regions for parameter vectors," Journal of Multivariate Analysis, Elsevier, vol. 132(C), pages 171-182.
    7. Motoyama, Hitoshi & 元山, 斉 & Takahashi, Hajime & 高橋, 一, 2009. "Smoothed Versions of Statistical Functionals from a Finite Population," Discussion Papers 2005-05_v2, Graduate School of Economics, Hitotsubashi University.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:26:y:1997:i:2:p:163-176. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.