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Ordering and selecting extreme populations by means of entropies and divergences

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Menéndez Calleja, María Luisa y Pardo Llorente, Leandro y Zografos, Konstantinos (2009) Ordering and selecting extreme populations by means of entropies and divergences. Journal of Computational and Applied Mathematics, 232 (2). pp. 335-350. ISSN 0377-0427

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URL Oficial: http://www.sciencedirect.com/science/article/pii/S0377042709003616


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This paper studies the simultaneous selection of extreme populations from a set of independent populations. Two types of subset selection rules for k populations are proposed and studied. The first type selects one subset of populations that should contain the population with the smallest, and another subset of populations that should contain the population with the largest, p-entropy. The second type selects analogously, but in terms of the extreme phi-divergences with respect a known control population. Properties of the proposed procedures are stated and studied. Examples are presented in order to illustrate the results.


Tipo de documento:Artículo
Palabras clave:Divergence; Entropy; Ordering populations; Selection of populations; Subset selection approach; Extreme populations
Materias:Ciencias > Matemáticas > Estadística matemática
Código ID:17375
Depositado:12 Dic 2012 09:30
Última Modificación:07 Feb 2014 09:46

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