An examination of statistical disclosure issues related to publication of aggregate statistics in the presence of a known subset of the dataset using Baseball Hall of Fame ballots
| Autor: | Gregory J. Matthews, Robert K. Arthur, Pétala Gardênia da Silva Estrela Tuy |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
business.industry media_common.quotation_subject Aggregate (data warehouse) Advertising Computer security computer.software_genre 01 natural sciences Latent class model Preference 010104 statistics & probability 03 medical and health sciences 030104 developmental biology Ballot Voting Decision Sciences (miscellaneous) 0101 mathematics business Publication computer Social Sciences (miscellaneous) media_common |
| Zdroj: | Journal of Quantitative Analysis in Sports. 13:1-10 |
| ISSN: | 1559-0410 2194-6388 |
| DOI: | 10.1515/jqas-2016-0085 |
| Popis: | Each year the members of the Baseball Writers Association of America (BBWAA) vote for eligible former players to be inducted into the Baseball Hall of Fame. The BBWAA tabulates and releases vote totals, but individual ballots remain private. However, many voters forgo their ballot privacy to publish their ballots through various media channels. These publicly available ballots can be aggregated to create a subset of the true ballots. Using these released ballots and the totals released by the BBWAA, this research assesses what can be learned about the group of voters who chose to not disclose their ballot. Attributes of the known and unknown ballot groups are studied by looking at differences in voting preference for individual players as well as voting differences between classes of voters that are defined using latent class analysis (LCA). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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