Understanding Elections through Statistics : Polling, Prediction, and Testing

Ole J Forsberg

ISBN 10: 0367895374 / ISBN 13: 9780367895372

Edité par CRC Press Nov 2020, 2020

A propos de cet article

Neuware - Elections are random events. From individuals deciding whether to vote, to people deciding for whom to vote, to election authorities deciding what to count, the outcomes of competitive democratic elections are rarely known until election day.or beyond. Understanding Elections through Statistics: Polling, Prediction, and Testing 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.Written for those with only a brief introduction to statistics, this book takes you on a statistical journey from how polls are taken to how they can-and should-be used to estimate current popular opinion. Once an understanding of the election process is built, we turn toward testing elections for evidence of unfairness. While holding elections has become the de facto proof of government legitimacy, those electoral processes may hide a dirty little secret of the government illicitly ensuring a favorable election outcome.This book includes these features designed to make your statistical journey more enjoyable:Vignettes of elections, including maps, to provide concrete bases for the materialIn-chapter cues to help one avoid the heavy math-or to focus on itEnd-of-chapter problems designed to review and extend that which was covered in the chapterMany opportunities to turn the power of the R statistical environment to the enclosed election data files, as well as to those you find interestingFrom these features, it is clear the audience for this book is quite diverse. This text provides mathematics for those interested in mathematics, but also offers detours for those who just want a good read and a deeper understanding of elections.AuthorOle J. Forsberg holds PhDs in both political science and statistics. He currently teaches mathematics and statistics in the Department of Mathematics at Knox College in Galesburg, IL.

N° de réf. du vendeur 9780367895372

Détails bibliographiques

• Titre: Understanding Elections through Statistics : Polling, Prediction, and Testing
• Éditeur: CRC Press Nov 2020
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 0367895374
• ISBN à 13 chiffres: 9780367895372
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 240 L x 161 H x 17 P (en millimètres) 240 millimètres de largeur par 161 millimètres de hauteur par 17 millimètres de profondeur
• Poids: 510 grammes

A propos de ce titre

Synopsis

Elections are random events. From individuals deciding whether to vote, to people deciding for whom to vote, to election authorities deciding what to count, the outcomes of competitive democratic elections are rarely known until election day…or beyond. Understanding Elections through Statistics: Polling, Prediction, and Testing 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.

Written for those with only a brief introduction to statistics, this book takes you on a statistical journey from how polls are taken to how they can—and should—be used to estimate current popular opinion. Once an understanding of the election process is built, we turn toward testing elections for evidence of unfairness. While holding elections has become the de facto proof of government legitimacy, those electoral processes may hide a dirty little secret of the government illicitly ensuring a favorable election outcome.

This book includes these features designed to make your statistical journey more enjoyable:

• Vignettes of elections, including maps, to provide concrete bases for the material
• In-chapter cues to help one avoid the heavy math—or to focus on it
• End-of-chapter problems designed to review and extend that which was covered in the chapter
• Many opportunities to turn the power of the R statistical environment to the enclosed election data files, as well as to those you find interesting

From these features, it is clear the audience for this book is quite diverse. This text provides mathematics for those interested in mathematics, but also offers detours for those who just want a good read and a deeper understanding of elections.

Author

Ole J. Forsberg

holds PhDs in both political science and statistics. He currently teaches mathematics and statistics in the Department of Mathematics at Knox College in Galesburg, IL.

À propos de l?auteur

Ole J. Forsberg, BS, MAT, MA, MSE, PhDd, is an Assistant Professor of Mathematics-Statistics at Knox College in Galesburg, IL. He received a PhD in Political Science at the University of Tennessee-Knoxville in 2006, concentrating in International Relations, War, and Terrorism. After finishing his dissertation, Dr Forsberg began a deeper investigation of the statistical techniques he used. As a result of that embarrassment, Dr Forsberg began statistical studies at the Johns Hopkins University (MSE, 2010) and concluded them with a PhD in Statistics from Oklahoma State University in 2014. His dissertation explored and applied applications of statistical techniques to testing elections for violations of the "free and fair" democratic claim. His research agenda lies in extending and applying statistical methods to modeling elections and testing the results for evidence of bias in election results.