Empowering domain experts to author valid statistical analyses
Author:
Affiliation:
1. Paul G. Allen School of Computer Science & Engineering, University of Washington, United States
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3526114.3558530
Reference20 articles.
1. Bradley Efron . 1992. Bootstrap methods: another look at the jackknife . In Breakthroughs in statistics . Springer , 569–593. Bradley Efron. 1992. Bootstrap methods: another look at the jackknife. In Breakthroughs in statistics. Springer, 569–593.
2. Ronald Aylmer Fisher . 1937. The design of experiments. Oliver And Boyd ; Edinburgh; London . Ronald Aylmer Fisher. 1937. The design of experiments. Oliver And Boyd; Edinburgh; London.
3. SAS Institute Inc.2021. SAS. https://www.sas.com/ SAS Institute Inc.2021. SAS. https://www.sas.com/
4. Eric Jones Travis Oliphant Pearu Peterson 2001–2021. SciPy: Open source scientific tools for Python. http://www.scipy.org/ Eric Jones Travis Oliphant Pearu Peterson 2001–2021. SciPy: Open source scientific tools for Python. http://www.scipy.org/
5. Eunice Jun Melissa Birchfield Nicole De Moura Jeffrey Heer and Rene Just. 2022. Hypothesis Formalization: Empirical Findings Software Limitations and Design Implications. In ACM Transactions on Computer-Human Interaction (TOCHI) Vol. 29. Issue 1. "https://arxiv.org/abs/2104.02712" Eunice Jun Melissa Birchfield Nicole De Moura Jeffrey Heer and Rene Just. 2022. Hypothesis Formalization: Empirical Findings Software Limitations and Design Implications. In ACM Transactions on Computer-Human Interaction (TOCHI) Vol. 29. Issue 1. "https://arxiv.org/abs/2104.02712"
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