Apportionment “Population paradox” and the Paradox of population influence

BOLUN, Ion

dc.contributor.author	BOLUN, Ion
dc.date.accessioned	2020-10-07T07:51:41Z
dc.date.available	2020-10-07T07:51:41Z
dc.date.issued	2020
dc.identifier.citation	BOLUN, Ion. Apportionment “Population paradox” and the Paradox of population influence. In: Computer Science Journal of Moldova. 2020, nr. 1(82), pp. 21-44. ISSN 1561-4042.	en_US
dc.identifier.uri	http://repository.utm.md/handle/5014/10489
dc.description.abstract	A new approach is grounded with respect to the population paradox (PPr). Further on, the paradox of population influence (PPi) is proposed. It is proven that Hamilton method is immune to the PPi, and that d’Hondt, Sainte-Lagu¨e, Huntington-Hill and Adapted Sainte-Lagu¨e methods – are not. By computer simulation, the percentage of non-immunity of Hamilton method to PPr, and the one of d’Hondt, Sainte-Lagu¨e, Huntington-Hill and Adapted Sainte-Lagu¨e divisor methods to PPi, is estimated. For a large range of initial data, this percentage, in the case of the four investigated divisor methods, does not exceed, on average, 0.6-0.8%, that is one case per a total of 120-170 cases.	en_US
dc.language.iso	en	en_US
dc.publisher	Institutul de Matematică şi Informatică al AŞM	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	population paradox	en_US
dc.subject	paradox of population influence	en_US
dc.title	Apportionment “Population paradox” and the Paradox of population influence	en_US
dc.type	Article	en_US