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The CUSUM statistics of change-point models based on dependent sequences.

Authors :
Ding, Saisai
Fang, Hongyan
Dong, Xiang
Yang, Wenzhi
Source :
Journal of Applied Statistics. Aug2022, Vol. 49 Issue 10, p2593-2611. 19p. 1 Chart, 14 Graphs.
Publication Year :
2022

Abstract

In this paper, we investigate the mean change-point models based on associated sequences. Under some weak conditions, we obtain a limit distribution of CUSUM statistic which can be used to judge the mean change-mount δ n is satisfied or dissatisfied n 1 / 2 δ n = o (1). We also study the consistency of sample covariances and change-point location statistics. Based on Normality and Lognormality data, some simulations such as empirical sizes, empirical powers and convergence are presented to test our results. As an important application, we use CUSUM statistics to do the mean change-point analysis for a financial series. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02664763
Volume :
49
Issue :
10
Database :
Academic Search Index
Journal :
Journal of Applied Statistics
Publication Type :
Academic Journal
Accession number :
157518596
Full Text :
https://doi.org/10.1080/02664763.2021.1913104