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Data used in Paper: A Non-Parametric Maximum for Reasonable Number of Rejected Hypotheses
| Description: | This data set was used as the example presenting the methods proposed in the Following Paper: A Non-Parametric Maximum for Reasonable Number of Rejected Hypotheses: Objective Optima for False Discovery Rate and Significance Threshold with Application to Ordinal Survey Analysis. Content type is survey aggregated data. Software needed to open data is Excel. Confidentiality declaration: The consenting participants (Canadians older than 19 years old) remain anonymous. This dataset was original deposited in the Simon Fraser University institutional repository. |
| Authors: | Ghaseminejad-tafreshi, Amir-hassan; Simon Fraser University |
| Keywords: | Big data analysis False discovery rate Multiple hypothesis testing High-dimensional data analysis |
| Field of Research: | Mathematics and statistics > Statistics > High dimensional data analysis
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| Publication Date: | 2017-04-12 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| URI: | https://doi.org/10.25314/290ed60d-d344-4cb3-9408-ea19d062214d |
| Related Identifiers: |
This dataset is cited by
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| Geographic Coverage: | Country Canada |
| Appears in Collections: | SFU Research Data |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/
Citation
Ghaseminejad-tafreshi, A. (2017). Data used in Paper: A Non-Parametric Maximum for Reasonable Number of Rejected Hypotheses. Federated Research Data Repository. https://doi.org/10.25314/290ed60d-d344-4cb3-9408-ea19d062214d
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