The 2016 Data Challenge of the American Statistical Association-Reference-Cited by-同舟云学术

The 2016 Data Challenge of the American Statistical Association

Published:2021-02-24 Issue:3 Volume:36 Page:1553-1560
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Amjadi Roya,Martinez Wendy

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s00180-021-01076-5.pdf

Reference16 articles.

1. Auerbach J, Eshleman C, Trangucci R (2021) A hierarchical Bayes approach to adjust for selection bias in before-after analyses of Vision Zero policies. Comput Stat. https://doi.org/10.1007/s00180-021-01070-x

2. Bean B (2019) USU data analytics club reviews code submissions with ASA president-elect. AMSTAT News. https://magazine.amstat.org/blog/2019/04/01/usu_april2019/

3. Cook D (2014) The 2011 data expo of the American Statistical Association. Comput Stat 29:117–119. https://doi.org/10.1007/s00180-013-0474-x

4. Coyle P, Chen C, Dabbish N (2016) Analysis of reported drowsy driving exploring subpopulation risk with weighted contingency table tools. JSM Proceedings. American Statistical Association, Alexandria, VA, pp 3018–3029

5. Coyle P, Chen C, Dabbish N (2021) Analysis of drowsy driving. Comput Stat. https://doi.org/10.1007/s00180-021-01071-w

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