Approaching the parameter estimation quality of maximum likelihood via generalized moments

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dc.creatorTkachov, Fyodor V.
dc.date2000-01-09
dc.date.accessioned2026-07-07T05:43:33Z
dc.date.available2026-07-07T05:43:33Z
dc.descriptionA simple criterion is presented for a practical construction of generalized moments that allow one to approach the theoretical Rao-Cramer limit for parameter estimation while avoiding the complexity of the maximum likelihood method in the cases of complicated probability distributions and/or very large event samples.
dc.descriptionPS 4 pages
dc.identifierhttps://arxiv.org/abs/physics/0001019
dc.identifierhttp://arxiv.org/abs/physics/0001019
dc.identifierPart.Nucl.Lett. 111 (2002) 28-35
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/83349
dc.subjectData Analysis, Statistics and Probability
dc.subjectHigh Energy Physics - Phenomenology
dc.titleApproaching the parameter estimation quality of maximum likelihood via generalized moments
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