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Nonparametric predictive reliability of series of voting systems

Aboalkhair, Ahmad M.; Coolen, Frank P. A.; MacPhee, Ian M. - In: European journal of operational research : EJOR 226 (2013) 1, pp. 77-84

Persistent link: https://www.econbiz.de/10009715681

Using polls to forecast popular vote share for US presidential elections 2016 and 2020 : an optimal forecast combination based on ensemble empirical model

Easaw, Joshy Z.; Fang, Yongmei; Heravi, Saeed M. - In: Journal of the Operational Research Society 74 (2023) 3, pp. 905-911

Persistent link: https://www.econbiz.de/10014332233

The wisdom of crowds : applying Condorcet's jury theorem to forecasting US presidential elections

Murr, Andreas E. - In: International journal of forecasting 31 (2015) 3, pp. 916-929

Persistent link: https://www.econbiz.de/10011474728

Using polls to forecast popular vote share for US presidential elections 2016 and 2020 : an optimal forecast combination based on ensemble empirical model

Easaw, Joshy Z.; Fang, Yongmei; Heravi, Saeed M. - 2021

This study introduces the Ensemble Empirical Mode Decomposition (EEMD) technique to forecasting popular vote share. The technique is useful when using polling data, which is pertinent when none of the main candidates is the incumbent. Our main interest in this study is the short- and long-term...

Persistent link: https://www.econbiz.de/10013177191