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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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Detalles Bibliográficos
Principais autores: Elfred John C. Abacan, Joseph Ryan G. Lansangan, Erniel B. Barrios
Formato: Artigo
Idioma:Inglês
Publicado: SAGE Publishing 2025-01-01
Series:SAGE Open
Acceso en liña:https://doi.org/10.1177/21582440251315229
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