Andere Kunden interessierten sich auch für
![Understanding Elections through Statistics]( "Understanding Elections through Statistics")
Understanding Elections through Statistics204,99 €![Understanding Elections through Statistics]( "Understanding Elections through Statistics")
Understanding Elections through Statistics90,99 €![Crime Mapping and Spatial Data Analysis Using R]( "Crime Mapping and Spatial Data Analysis Using R")
Crime Mapping and Spatial Data Analysis Using R103,99 €![The Polls Weren't Wrong]( "The Polls Weren't Wrong")
The Polls Weren't Wrong34,99 €![Debunking Seven Terrorism Myths Using Statistics]( "Debunking Seven Terrorism Myths Using Statistics")
Debunking Seven Terrorism Myths Using Statistics26,99 €![Confidence Intervals for Discrete Data in Clinical Research]( "Confidence Intervals for Discrete Data in Clinical Research")
Confidence Intervals for Discrete Data in Clinical Research42,99 €![Confidence Intervals for Discrete Data in Clinical Research]( "Confidence Intervals for Discrete Data in Clinical Research")
Confidence Intervals for Discrete Data in Clinical Research95,99 €
Elections are random events.
From individuals deciding whether to vote, to individuals deciding who to vote for, 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 explores this random phenomenon from three primary points of view: predicting the election outcome using opinion polls, testing the election outcome using government-reported data, and exploring election data to better understand the people.
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 the 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, starting each chapter to motivate the material In-chapter cues to help one avoid the heavy math-or to focus on itEnd-of-chapter problems designed to review and extend what 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 interesting
The second edition improves upon this and includes:
A rewrite of several chapters to make the underlying concepts more clearA chapter dedicated to confidence intervals, what they mean, and what they do notAdditional experiments to help you better understand the statistics of electionsA new introduction to polling, its terms, its processes, and its ethics
From these features, it is clear that the audience for this book is quite diverse. It provides the statistics and mathematics for those interested in statistics and mathematics, but it also provides detours for those who just want a good read and a deeper understanding of elections.
From individuals deciding whether to vote, to individuals deciding who to vote for, 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 explores this random phenomenon from three primary points of view: predicting the election outcome using opinion polls, testing the election outcome using government-reported data, and exploring election data to better understand the people.
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 the 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, starting each chapter to motivate the material In-chapter cues to help one avoid the heavy math-or to focus on itEnd-of-chapter problems designed to review and extend what 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 interesting
The second edition improves upon this and includes:
A rewrite of several chapters to make the underlying concepts more clearA chapter dedicated to confidence intervals, what they mean, and what they do notAdditional experiments to help you better understand the statistics of electionsA new introduction to polling, its terms, its processes, and its ethics
From these features, it is clear that the audience for this book is quite diverse. It provides the statistics and mathematics for those interested in statistics and mathematics, but it also provides detours for those who just want a good read and a deeper understanding of elections.
"This unique book, by an author who is both a Statistician and Political Scientist, discusses the statistical theory of two important aspects of elections. The first half is an in-depth introduction to the classical statistical theory of polling, including estimators, confidence intervals, and stratified sampling. It comes complete with snippets of R code and many concrete examples, including two cases that challenged pollsters: the 2016 US presidential election and the 2016 Brexit vote. The second half concerns statistical methods for after the fact detection of fraudulent elections. It includes an in-depth treatment of methods based on the Benford distribution, but also methods based on classical regression analysis. Again numerous pieces of R code and concrete examples are provided."
- E. Arthur Robinson, Jr., Professor of Mathematics, George Washington University
"This book has multiple layers that provides flexibility in its use. It makes polling and the statistical issues understandable for those who have little knowledge of statistics beyond the elementary course material. It includes enough of the mathematical underpinnings so that a student wishing to delve deeper into the material has that opportunity. It treats the material with cleverness and wryness that transforms the topic, usually thought of as "dry" by many people, into an interesting and compelling read. The use of maps and real-world examples help make the issues relevant and practical. It should be required reading for anyone studying political science and polling/elections, or anyone with a methodological background wishing to understand these topics at a greater depth."
- Mark Payton, Rocky Vista University
"The book contains a list of 145 most recent references and a detailed index. Many exercises and appendices with mathematical derivations are given at the end of chapters. Numerous R scripts are presented throughout the whole monograph, providing ready-to-run or make-it-yourself tools for practical implementation of all the techniques. The book can be interesting not only to students in political sciences and statistical methods but to a wider audience interested to understand the results and checkup fairness of elections."
- Stan Lipovetsky, Technometrics January 2021
- E. Arthur Robinson, Jr., Professor of Mathematics, George Washington University
"This book has multiple layers that provides flexibility in its use. It makes polling and the statistical issues understandable for those who have little knowledge of statistics beyond the elementary course material. It includes enough of the mathematical underpinnings so that a student wishing to delve deeper into the material has that opportunity. It treats the material with cleverness and wryness that transforms the topic, usually thought of as "dry" by many people, into an interesting and compelling read. The use of maps and real-world examples help make the issues relevant and practical. It should be required reading for anyone studying political science and polling/elections, or anyone with a methodological background wishing to understand these topics at a greater depth."
- Mark Payton, Rocky Vista University
"The book contains a list of 145 most recent references and a detailed index. Many exercises and appendices with mathematical derivations are given at the end of chapters. Numerous R scripts are presented throughout the whole monograph, providing ready-to-run or make-it-yourself tools for practical implementation of all the techniques. The book can be interesting not only to students in political sciences and statistical methods but to a wider audience interested to understand the results and checkup fairness of elections."
- Stan Lipovetsky, Technometrics January 2021