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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)

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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
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    References listed on IDEAS

    as
    1. 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.
    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. Dianne Cook, 2014. "The 2011 data Expo of the American Statistical Association," Computational Statistics, Springer, vol. 29(1), pages 117-119, February.
    Full references (including those not matched with items on IDEAS)

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