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Preface | ||
Ch. 1 | Trial Heat Polls | 1 |
App. 1.1 | 2000 Forecasts for Gore: Comparison of Regression Results and Raw Trial Heat Data | 12 |
App. 1.2 | Trial Heat Equations for 2004 Election Scenarios, 1952-2000 Data | 12 |
Ch. 2 | Bellwethers | 14 |
App. 2.1 | Bellwether Equations for 2004 Election Scenarios, 1952-2000 Data | 28 |
Ch. 3 | Presidential Approval Ratings | 29 |
App. 3.1 | Forecasts of 2000 Election: Regressions on Presidential Approval Ratings | 37 |
App. 3.2 | Equations for 2004 Election Scenarios Using Presidential Approval Ratings | 38 |
Ch. 4 | Other Public Opinion-Based Techniques | 39 |
Ch. 5 | Judgment-Based Forecasting Techniques | 47 |
Ch. 6 | Cycles in Presidential Elections | 62 |
Ch. 7 | The Nomination Process and Campaigns | 73 |
Ch. 8 | Performance of the Economy | 79 |
App. 8.1 | Equations for 2004 Election Scenarios | 93 |
Ch. 9 | Putting It All Together: Multivariate Forecasting Models | 94 |
Conclusion: A Forecasting Perspective of the 2000 Election | 125 | |
Bibliography | 133 | |
App.: A Brief Introduction to Regression | 143 | |
Glossary: Common Terms Used in Regression | 151 | |
Index | 157 |
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Add Who will be in the White House?, Jones, Jr., Randall J., Who Will Be in the White House?: Predicting Presidential Elections*\ Presenting models for making predictions about presidential elections, this brief supplementary book is accessible to readers without a statistical background and, Who will be in the White House? to the inventory that you are selling on WonderClubX
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Add Who will be in the White House?, Jones, Jr., Randall J., Who Will Be in the White House?: Predicting Presidential Elections*\ Presenting models for making predictions about presidential elections, this brief supplementary book is accessible to readers without a statistical background and, Who will be in the White House? to your collection on WonderClub |