IDEAS home Printed from https://ideas.repec.org/a/eee/econom/v25y1984i1-2p179-190.html
   My bibliography  Save this article

On the performance of biased estimators in the linear regression model with correlated or heteroscedastic errors

Author

Listed:
  • Trenkler, G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Trenkler, G., 1984. "On the performance of biased estimators in the linear regression model with correlated or heteroscedastic errors," Journal of Econometrics, Elsevier, vol. 25(1-2), pages 179-190.
    • Handle: RePEc:eee:econom:v:25:y:1984:i:1-2:p:179-190
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0304-4076(84)90045-9
    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.

    Citations

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


    Cited by:

    1. Gülesen Üstündagˇ Şiray & Selahattin Kaçıranlar & Sadullah Sakallıoğlu, 2014. "r − k Class estimator in the linear regression model with correlated errors," Statistical Papers, Springer, vol. 55(2), pages 393-407, May.
    2. Özkale, M. Revan, 2008. "A jackknifed ridge estimator in the linear regression model with heteroscedastic or correlated errors," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3159-3169, December.
    3. T. Söküt Açar & M.R. Özkale, 2016. "Influence measures based on confidence ellipsoids in general linear regression model with correlated regressors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(15), pages 2791-2812, November.
    4. Jiewu Huang & Hu Yang, 2015. "On a principal component two-parameter estimator in linear model with autocorrelated errors," Statistical Papers, Springer, vol. 56(1), pages 217-230, February.
    5. Gargi Tyagi & Shalini Chandra, 2017. "A Note on the Performance of Biased Estimators with Autocorrelated Errors," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2017, pages 1-12, January.
    6. Özkale, M. Revan, 2009. "A stochastic restricted ridge regression estimator," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1706-1716, September.
    7. Gülesen Üstündağ Şiray, 2023. "Simultaneous prediction using target function based on principal components estimator with correlated errors," Statistical Papers, Springer, vol. 64(5), pages 1527-1628, October.

    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:econom:v:25:y:1984:i:1-2:p:179-190. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/jeconom .

    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.