A Probabilistic Model for Detecting Gerrymandering in Partially-Contested Multiparty Elections

Tytuł:
A Probabilistic Model for Detecting Gerrymandering in Partially-Contested Multiparty Elections
Czasopismo:
Rok:
2019

Opis:
Classic methods for detecting gerrymandering fail in multiparty partially-contested elections, such as the Polish local election of 2014. A new method for detecting electoral bias, based on the assumption that voting is a stochastic process described by Pólya’s urn model, is devised to overcome these difficulties.

Strony:
1-20

Tom (seria wydawnicza):
24

Numer DOI:
https://doi.org/10.1007/978-3-662-60555-4_1

Link:
https://link.springer.com/chapter/10.1007/978-3-662-60555-4_1

Access:
ZAMKNIĘTY