IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v37y2022i5d10.1007_s00180-022-01257-w.html
   My bibliography  Save this article

The 2017 Data Challenge of the American Statistical Association

Author

Listed:
  • Thesia I. Garner

    (U.S. Bureau of Labor Statistics)

  • Wendy Martinez

    (Office of Survey Methods Research U.S. Bureau of Labor Statistics)

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:compst:v:37:y:2022:i:5:d:10.1007_s00180-022-01257-w
    DOI: 10.1007/s00180-022-01257-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00180-022-01257-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00180-022-01257-w?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. Dianne Cook, 2014. "The 2011 data Expo of the American Statistical Association," Computational Statistics, Springer, vol. 29(1), pages 117-119, February.
    2. Joyance Meechai & Manel Wijesinha, 2022. "Household energy expenditure and consumption patterns in the United States," Computational Statistics, Springer, vol. 37(5), pages 2095-2127, November.
    3. Mingzhao Hu, 2022. "Multivariate understanding of income and expenditure in United States households with statistical learning," Computational Statistics, Springer, vol. 37(5), pages 2129-2160, November.
    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. Roya Amjadi & Wendy Martinez, 2021. "The 2016 Data Challenge of the American Statistical Association," Computational Statistics, Springer, vol. 36(3), pages 1553-1560, September.
    2. Marlena Piekut & Kamil Piekut, 2022. "Changes in Patterns of Consumer Spending in European Households," Sustainability, MDPI, vol. 14(19), pages 1-25, October.
    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.

    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:37:y:2022:i:5:d:10.1007_s00180-022-01257-w. 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.