IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v63y2003i3p287-293.html
   My bibliography  Save this article

Large sample results under biased sampling when covariables are present

Author

Listed:
  • de Uña-Álvarez, Jacobo

Abstract

In this work, we introduce and analyze new estimation procedures when a (p+1)-dimensional variable (U,T) is sampled under selection bias models. Here, T denotes a time of interest and U=(u1,...,up) is a vector of covariables. Applications include the estimation of (conditional) cumulative hazard and mean residual time functions, and inference about the regression curve m(u)=E([psi](T) U=u).

Suggested Citation

  • de Uña-Álvarez, Jacobo, 2003. "Large sample results under biased sampling when covariables are present," Statistics & Probability Letters, Elsevier, vol. 63(3), pages 287-293, July.
  • Handle: RePEc:eee:stapro:v:63:y:2003:i:3:p:287-293
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(03)00093-2
    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. Ahmad, Ibrahim A., 1995. "On multivariate kernel estimation for samples from weighted distributions," Statistics & Probability Letters, Elsevier, vol. 22(2), pages 121-129, February.
    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. Junke Kou & Youming Liu, 2018. "Wavelet regression estimations with strong mixing data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(4), pages 667-688, December.
    2. Wu, Colin O., 1997. "A Cross-Validation Bandwidth Choice for Kernel Density Estimates with Selection Biased Data," Journal of Multivariate Analysis, Elsevier, vol. 61(1), pages 38-60, April.
    3. J. Cristóbal & J. Ojeda & J. Alcalá, 2004. "Confidence bands in nonparametric regression with length biased data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 56(3), pages 475-496, September.
    4. Ying Qing Chen, 2010. "Semiparametric Regression in Size-Biased Sampling," Biometrics, The International Biometric Society, vol. 66(1), pages 149-158, March.
    5. Colin Wu & Andrew Mao, 1996. "Minimax kernels for density estimation with biased data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 48(3), pages 451-467, September.
    6. Wu, Colin O., 1997. "The effects of kernel choices in density estimation with biased data," Statistics & Probability Letters, Elsevier, vol. 34(4), pages 373-383, June.
    7. Yogendra P. Chaubey & Christophe Chesneau & Fabien Navarro, 2017. "Linear wavelet estimation of the derivatives of a regression function based on biased data," Working Papers 2017-70, Center for Research in Economics and 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:stapro:v:63:y:2003:i:3:p:287-293. 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/wps/find/journaldescription.cws_home/622892/description#description .

    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.