Mostrar el registro sencillo del ítem
dc.contributor | 31249 | es_ES |
dc.coverage.spatial | Global | es_ES |
dc.creator | De la Rosa, José Ismael | |
dc.creator | Fleury, Gilles | |
dc.date.accessioned | 2020-04-23T17:24:27Z | |
dc.date.available | 2020-04-23T17:24:27Z | |
dc.date.issued | 2001-01 | |
dc.identifier | info:eu-repo/semantics/publishedVersion | es_ES |
dc.identifier.isbn | 2-912328-16-0 | es_ES |
dc.identifier.uri | http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1830 | |
dc.description.abstract | A biased bootstrap technique is presented to obtain robust parameter and measurement estimates. Moreover, the estimation of a measurement probability density function (pdf) using classical bootstrap techniques is presented as our final goal. Most of the time, large scale repetition of an experiment is not economically feasible, the Monte Carlo method cannot be used for uncertainty characterization and bootstrap methods are proved to be a potentially useful alternative. The measurement characterization is driven by the pdf estimation in a non-linear non-Gaussian case and with limited observed data. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | ESE - France | es_ES |
dc.relation.uri | generalPublic | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | Proc. of the Physics in Signal and Image Processing, pp. 57-62, Marseille (France), 23-24 Jan. 2001. | es_ES |
dc.subject.classification | INGENIERIA Y TECNOLOGIA [7] | es_ES |
dc.subject.other | Bootstrap | es_ES |
dc.subject.other | Monte Carlo method | es_ES |
dc.subject.other | uncertainty characterization | es_ES |
dc.title | Bootstrap methods applied to indirect measurement | es_ES |
dc.type | info:eu-repo/semantics/conferencePaper | es_ES |
El ítem tiene asociados los siguientes ficheros de licencia: