Polling and Prediction in the 2016 Presidential Election.
In the wake of experts' failure to predict the outcome of the 2016 presidential election, a rigorous analysis of what went right and wrong is needed to improve future polling. Despite claims that "data is dead," low-tech factors such as sampling errors and inaccurate likely-voter models were probabl...
| Publicado en: | Computer (00189162) Vol. 50; no. 5; pp. 110 - 116 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
IEEE
May2017
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=123209423&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 123209423 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: May2017 vid: 50 iid: 5 pid: 13605 pub: IEEE artinfo: ui: 123209423 10.1109/MC.2017.139 ppf: 110 ppct: 6 formats: tig: atl: Polling and Prediction in the 2016 Presidential Election. aug: au: Valentino, Nicholas A. King, John Leslie Hill, Walter W. affil: University of Michigan St. Mary's College of Maryland su: United States presidential election, 2016 Exit polling (Elections) Sampling (Process) Experimental design Mathematical models sug: subj: United States presidential election, 2016 Exit polling (Elections) Sampling (Process) Experimental design Mathematical models keyword: Aftershock data analysis elections prediction ab: In the wake of experts' failure to predict the outcome of the 2016 presidential election, a rigorous analysis of what went right and wrong is needed to improve future polling. Despite claims that "data is dead," low-tech factors such as sampling errors and inaccurate likely-voter models were probably most responsible. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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