Support Vector Regression and Beta Distribution for the Modeling of Incumbent Party vote for Presidential Elections
The aim of our study is to model and predict, rather than explain presidential election results, using selected quarterly macroeconomic indicators, say, gross national product, consumer price index, unemployment rate and gross national product from 1994-2017.Particularly, we seek to provide predict...
Saved in:
Main Authors: | R., Kikawa, M, N. Ngungu, D., Ntirampeba, A., Ssematimba |
---|---|
Format: | Article |
Language: | English |
Published: |
Applied Mathematics & Information Sciences
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/20.500.12493/475 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Economic Voting or Class Voting? An Analysis of the Factors Driving Incumbent Vote Choice
by: Andreea Stancea, et al.
Published: (2025-02-01) -
A quadratic $$\nu $$ ν -support vector regression approach for load forecasting
by: Yanhe Jia, et al.
Published: (2025-01-01) -
Conditional Populist Party Support: The Role of Dissatisfaction and Incumbency
by: Nina Wiesehomeier, et al. -
Optimizing Demand Forecasting Method with Support Vector Regression for Improved Inventory Planning
by: Tryantomo Lokhilmahful Palgunadi, et al.
Published: (2025-01-01) -
Game changing electoral reforms and party system change? An analysis of the 2020 national assembly election in South Korea
by: Carl Joergen Saxer
Published: (2025-01-01)