Error structures and parameter estimation

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dc.creatorBouleau, Nicolas
dc.creatorChorro, Christophe
dc.date2006-12-10
dc.date.accessioned2026-07-07T08:08:28Z
dc.date.available2026-07-07T08:08:28Z
dc.descriptionThis article proposes a link between statistics and the theory of Dirichlet forms used to compute errors. The error calculus based on Dirichlet forms is an extension of classical Gauss' approach to error propagation. The aim of this paper is to derive error structures from measurements. The links with Fisher's information lay the foundations of a strong connection with experiment. We show that this connection behaves well towards changes of variables and is related to the theory of asymptotic statistics.
dc.identifierhttps://arxiv.org/abs/math/0612258
dc.identifierhttp://arxiv.org/abs/math/0612258
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131275
dc.subjectStatistics Theory
dc.subjectFunctional Analysis
dc.subjectProbability
dc.subject31C25, 47B25, 49Q12, 62F99, 62B10, 65G99
dc.titleError structures and parameter estimation
dc.typetext

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