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Asymptotic properties of monitoring procedure for parameter change in heteroscedastic time series models

Authors
Kim, Soo TaekOh, Hae June
Issue Date
Aug-2020
Publisher
KOREAN STATISTICAL SOC
Keywords
monitoring procedure; parameter change; sequential procedures; location-scale time series; modified residual CUSUM
Citation
KOREAN JOURNAL OF APPLIED STATISTICS, v.33, no.4, pp 467 - 482
Pages
16
Indexed
ESCI
KCI
Journal Title
KOREAN JOURNAL OF APPLIED STATISTICS
Volume
33
Number
4
Start Page
467
End Page
482
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/6371
DOI
10.5351/KJAS.2020.33.4.467
ISSN
1225-066X
2383-5818
Abstract
We investigate a monitoring procedure for the early detection of parameter changes in location-scale time series models. We introduce a detector for monitoring procedure based on modified residual cumulative sum (CUSUM). The asymptotic properties of the monitoring procedure are established under the null and alternative hypotheses. Simulation results and data analysis are also provided for illustration.
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Oh, Hae June
자연과학대학 (정보통계학과)
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