| dc.creator | Lafuente, Miguel | |
| dc.creator | Ejea, David | |
| dc.creator | Gouet Bañares, Raúl | |
| dc.creator | López, F. Javier | |
| dc.creator | Sanz, Gerardo | |
| dc.date.accessioned | 2023-08-25T18:20:18Z | |
| dc.date.accessioned | 2023-09-08T12:15:49Z | |
| dc.date.available | 2023-08-25T18:20:18Z | |
| dc.date.available | 2023-09-08T12:15:49Z | |
| dc.date.created | 2023-08-25T18:20:18Z | |
| dc.date.issued | 2023 | |
| dc.identifier | En: 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 978-3-031-04136-5 | |
| dc.identifier | https://repositorio.uchile.cl/handle/2250/195365 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8752377 | |
| dc.description.abstract | We 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. | |
| dc.language | en | |
| dc.publisher | Springer | |
| dc.source | Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo | |
| dc.title | Approximations of δ -record probabilities in i.i.d. and trend models | |
| dc.type | Capítulo de libro | |
