Test for Change in Error Variance of Multiple Time Series

Changes in levels of multiple time series based on their common components helps characterize the shared behavior of the data generating process with known events causing perturbations in their movements. However, changes in variance of the error structure leads to misspecification of models that co...

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Bibliographic Details
Main Authors: Elfred John C. Abacan, Joseph Ryan G. Lansangan, Erniel B. Barrios
Format: Article
Language:English
Published: SAGE Publishing 2025-01-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/21582440251315229
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