Limit distribution of the least square estimator with observations sampled at random times driven by standard Brownian motion

Tania Roa, Soledad Torres, Ciprian Tudor

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

1 Cita (Scopus)

Resumen

In this article, we study the limit distribution of the least square estimator, properly normalized, from a regression model in which observations are assumed to be finite (αN) and sampled under two different random times. Based on the limit behavior of the characteristic function and convergence result we prove the asymptotic normality for the least square estimator. We present simulations results to illustrate our theoretical results.

Idioma originalInglés
Páginas (desde-hasta)3730-3750
Número de páginas21
PublicaciónCommunications in Statistics - Theory and Methods
Volumen52
N.º11
DOI
EstadoPublicada - 2023
Publicado de forma externa

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