Elections are random events. The outcomes of competitive democratic elections are rarely known until election day… or beyond. Elections with Statistics explores this random phenomenon from two points of view: predicting the election outcome using opinion polls and testing the election outcome using government-reported data.
Wim J. van der Linden, University of Twente) van der Linden, Wim J. (Professor Emeritus of Measurement and Data Analysis, Wim J. Van Der Linden, Wim J. van der Linden
Wim J. van der Linden, University of Twente) van der Linden, Wim J. (Professor Emeritus of Measurement and Data Analysis, Wim J. Van Der Linden, Wim J. van der Linden
Wim J. van der Linden, University of Twente) van der Linden, Wim J. (Professor Emeritus of Measurement and Data Analysis, Wim J. Van Der Linden, Wim J. van der Linden
Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane, USA) Foster, Ian (University of Chicago, Illinois, USA) Lane, Julia (New York University; American Institutes for Research
Bruno Nicenboim, Daniel J. Schad, Shravan Vasishth, Netherlands) Nicenboim, Bruno (Department of Cognitive Science and Artificial Intelligence, Tilburg University, Germany) Schad, Daniel J. (Health and Medical University, Potsdam, Germany) Vasishth, Shravan (Royal Statistical Society, UK and Department of Linguistics, University of Potsdam
Bruno Nicenboim, Daniel J. Schad, Shravan Vasishth, Netherlands) Nicenboim, Bruno (Department of Cognitive Science and Artificial Intelligence, Tilburg University, Germany) Schad, Daniel J. (Health and Medical University, Potsdam, Germany) Vasishth, Shravan (Royal Statistical Society, UK and Department of Linguistics, University of Potsdam