IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v29y2014i1p117-119.html
   My bibliography  Save this article

The 2011 data Expo of the American Statistical Association

Author

Listed:
  • Dianne Cook

Abstract

No abstract is available for this item.

Suggested Citation

  • Dianne Cook, 2014. "The 2011 data Expo of the American Statistical Association," Computational Statistics, Springer, vol. 29(1), pages 117-119, February.
  • Handle: RePEc:spr:compst:v:29:y:2014:i:1:p:117-119
    DOI: 10.1007/s00180-013-0474-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00180-013-0474-x
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s00180-013-0474-x?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. Lendie Follett & Ulrike Genschel & Heike Hofmann, 2014. "A graphical exploration of the Deepwater Horizon oil spill," Computational Statistics, Springer, vol. 29(1), pages 121-132, February.
    2. Tianxi Li & Chao Gao & Meng Xu & Bala Rajaratnam, 2014. "Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees," Computational Statistics, Springer, vol. 29(1), pages 141-157, February.
    3. Tony Tran & Aida Yazdanparast & Eric Suess, 2014. "Effect of Oil Spill on Birds: A Graphical Assay of the Deepwater Horizon Oil Spill’s Impact on Birds," Computational Statistics, Springer, vol. 29(1), pages 133-140, February.
    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. Thesia I. Garner & Wendy Martinez, 2022. "The 2017 Data Challenge of the American Statistical Association," Computational Statistics, Springer, vol. 37(5), pages 2087-2094, November.
    2. Roya Amjadi & Wendy Martinez, 2021. "The 2016 Data Challenge of the American Statistical Association," Computational Statistics, Springer, vol. 36(3), pages 1553-1560, September.
    3. Mine Cetinkaya-Rundel & Wendy Martinez, 2023. "The 2018 data challenge expo of the American statistical association," Computational Statistics, Springer, vol. 38(3), pages 1117-1122, September.

    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:spr:compst:v:29:y:2014:i:1:p:117-119. 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.