IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v25y2010i2p203-213.html
   My bibliography  Save this article

Nonparametric estimation of the bivariate survival function for one modified form of doubly censored data

Author

Listed:
  • Pao-sheng Shen

Abstract

No abstract is available for this item.

Suggested Citation

  • Pao-sheng Shen, 2010. "Nonparametric estimation of the bivariate survival function for one modified form of doubly censored data," Computational Statistics, Springer, vol. 25(2), pages 203-213, June.
    • Handle: RePEc:spr:compst:v:25:y:2010:i:2:p:203-213
    DOI: 10.1007/s00180-009-0171-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00180-009-0171-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00180-009-0171-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Satten G. A. & Datta S., 2001. "The Kaplan-Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average," The American Statistician, American Statistical Association, vol. 55, pages 207-210, August.
    Full references (including those not matched with items on IDEAS)

    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. Shen, Pao-sheng, 2009. "An inverse-probability-weighted approach to the estimation of distribution function with doubly censored data," Statistics & Probability Letters, Elsevier, vol. 79(9), pages 1269-1276, May.
    2. Olivier Lopez, 2007. "On the Estimation of the Joint Distribution in Regression Models with Censored Responses," Working Papers 2007-11, Center for Research in Economics and Statistics.
    3. Alan D. Hutson, 2016. "Nonparametric rank based estimation of bivariate densities given censored data conditional on marginal probabilities," Journal of Statistical Distributions and Applications, Springer, vol. 3(1), pages 1-14, December.
    4. Yu-Ye Zou & Han-Ying Liang, 2020. "CLT for integrated square error of density estimators with censoring indicators missing at random," Statistical Papers, Springer, vol. 61(6), pages 2685-2714, December.
    5. Olivier Lopez & Xavier Milhaud & Pierre-Emmanuel Thérond, 2016. "Tree-based censored regression with applications in insurance," Post-Print hal-01364437, HAL.
    6. García, A., 2016. "Oaxaca-Blinder Type Counterfactual Decomposition Methods for Duration Outcomes," Documentos de Trabajo 14186, Universidad del Rosario.

    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:spr:compst:v:25:y:2010:i:2:p:203-213. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.