IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v25y1997i1p55-65.html
   My bibliography  Save this article

Confirmation of multiple outliers in generalized linear and nonlinear regressions

Author

Listed:
  • Lee, Andy H.
  • Fung, Wing K.

Abstract

No abstract is available for this item.

Suggested Citation

  • Lee, Andy H. & Fung, Wing K., 1997. "Confirmation of multiple outliers in generalized linear and nonlinear regressions," Computational Statistics & Data Analysis, Elsevier, vol. 25(1), pages 55-65, July.
    • Handle: RePEc:eee:csdana:v:25:y:1997:i:1:p:55-65
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(96)00086-2
    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. Fung, Wing-Kam & Bacon-Shone, J., 1993. "Quasi-Bayesian modelling of multivariate outliers," Computational Statistics & Data Analysis, Elsevier, vol. 16(3), pages 271-278, September.
    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. Yun Zhao & Andy Lee & Kelvin Yau & Geoffrey McLachlan, 2011. "Assessing the adequacy of Weibull survival models: a simulated envelope approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2089-2097.
    2. Akouemo, Hermine N. & Povinelli, Richard J., 2016. "Probabilistic anomaly detection in natural gas time series data," International Journal of Forecasting, Elsevier, vol. 32(3), pages 948-956.
    3. Yick, John S. & Lee, Andy H., 1998. "Unmasking outliers in two-way contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 29(1), pages 69-79, November.
    4. Xiang, Liming & Tse, Siu-Keung & Lee, Andy H., 2002. "Influence diagnostics for generalized linear mixed models: applications to clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 40(4), pages 759-774, October.

    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.

      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:25:y:1997:i:1:p:55-65. 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.