Data used in Paper: A Non-Parametric Maximum for Reasonable Number of Rejected Hypotheses

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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.
Author(s):
Ghaseminejad-tafreshi, Amir-hassan

Ghaseminejad-tafreshi, Amir-hassan

Simon Fraser University
Source Repository:
SFU Research Data (FRDR)
Publisher(s):
Federated Research Data Repository / dépôt fédéré de données de recherche
URL:
https://doi.org/10.25314/290ed60d-d344-4cb3-9408-ea19d062214d
Publication date:
2017-04-12
Keywords:
Big data analysis, False discovery rate, Multiple hypothesis testing, and High-dimensional data analysis

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Citation

APA Citation:
Ghaseminejad-tafreshi, A.-hassan. (2017). Data used in Paper: A Non-Parametric Maximum for Reasonable Number of Rejected Hypotheses [Data set]. SFU Research Data (FRDR). https://doi.org/10.25314/290ed60d-d344-4cb3-9408-ea19d062214d
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