Fixed Point Iteration for Estimating The Parameters of Extreme Value Distributions

dc.creatorKernane, Tewfik
dc.creatorRaizah, Zohrh A.
dc.date2009-02-01
dc.date.accessioned2026-07-07T12:36:52Z
dc.date.available2026-07-07T12:36:52Z
dc.descriptionMaximum likelihood estimations for the parameters of extreme value distributions are discussed in this paper using fixed point iteration. The commonly used numerical approach for addressing this problem is the Newton-Raphson approach which requires differentiation unlike the fixed point iteration which is also easier to implement. Graphical approaches are also usually proposed in the literature. We prove that these reduce in fact to the fixed point solution proposed in this paper.
dc.identifierhttps://arxiv.org/abs/0902.0117
dc.identifierhttp://arxiv.org/abs/0902.0117
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/218240
dc.subjectComputation
dc.subjectMethodology
dc.titleFixed Point Iteration for Estimating The Parameters of Extreme Value Distributions
dc.typetext

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