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Proportional Representation : Apportionment Methods and Their Applications / by Friedrich Pukelsheim

1st ed. 2014.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2014
本文言語 英語
大きさ XXI, 234 p. 3 illus : online resource
著者標目 *Pukelsheim, Friedrich author
SpringerLink (Online service)
件 名 LCSH:Game theory
LCSH:Social sciences -- Statistical methods  全ての件名で検索
LCSH:Political science
FREE:Game Theory
FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
FREE:Political Science
一般注記 Exposing Methods: The 2009 European Parliament Elections.- Imposing Constitutionality: The 2009 Bundestag Election -- From Reals to Integers: Rounding Functions, Rounding Rules.- Divisor Methods of Apportionment: Divide and Round -- Quota Methods of Apportionment: Divide and Rank -- Targeting the House Size: Discrepancy Distribution -- Favoring Some at the Expense of Others: Seat Biases -- Preferring Stronger Parties to Weaker Parties: Majorization -- Securing System Consistency: Coherence and Paradoxes -- Appraising Electoral Equality: Goodness-of-Fit Criteria -- Tracing Peculiarities: Vote Thresholds and Majority Clauses.- Truncating Seat Ranges: Minimum-Maximum Restrictions.- Proportionality and Personalization: BWG 2013 -- Representing Districts and Parties: Double Proportionality
The book offers a rigorous description of the procedures that proportional representation systems use to translate vote counts into seat numbers. Since the methodological analysis is guided by practical needs, plenty of empirical instances are provided and reviewed to motivate the development, and to illustrate the results. Concrete examples, like the 2009 elections to the European Parliament in each of the 27 Member States and the 2013 election to the German Bundestag, are analyzed in full detail. The level of mathematical exposition, as well as the relation to political sciences and constitutional jurisprudence makes this book suitable for special graduate courses and seminars
HTTP:URL=https://doi.org/10.1007/978-3-319-03856-8
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データ種別 電子ブック
分 類 LCC:QA269-272
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書誌ID 4000117102
ISBN 9783319038568

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