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Authordc.contributor.authorLafuente, Miguel
Authordc.contributor.authorEjea, David
Authordc.contributor.authorGouet Bañares, Raúl
Authordc.contributor.authorLópez, F. Javier
Authordc.contributor.authorSanz, Gerardo
Admission datedc.date.accessioned2023-08-25T18:20:18Z
Available datedc.date.available2023-08-25T18:20:18Z
Publication datedc.date.issued2023
Cita de ítemdc.identifier.citationEn: Balakrishnan, N., Gil, M.Á., Martín, N., Morales, D., Pardo, M.d.C. (eds) Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo. Cham, Switzerland: Springer, 2023. pp. 73–81 ISBN 978-3-031-04136-5es_ES
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/195365
Abstractdc.description.abstractWe study the probability of occurrence of -records in a model with linear trend. While this probability has been studied in the iid case, the existence of a trend makes its analysis much more involved. Asymptotic properties of this probability have been studied in the literature when the number of observations is large. However, no approximations are known when the number of observations is small. We propose a first order approximation as a function of both the values of and the trend. We assess our results via Montecarlo simulations finding that the approximations are accurate for a small-moderate number of observations.es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherSpringeres_ES
Sourcedc.sourceTrends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardoes_ES
Títulodc.titleApproximations of δ -record probabilities in i.i.d. and trend modelses_ES
Document typedc.typeCapítulo de libroes_ES
dc.description.versiondc.description.versionVersión publicada - versión final del editores_ES
dcterms.accessRightsdcterms.accessRightsAcceso a solo metadatoses_ES
Catalogueruchile.catalogadorlajes_ES


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