| Autor: |
Balakrishnan, N., Sarabia, José María, Castillo, Enrique, Peña, Daniel, Poncela, Pilar |
| Zdroj: |
Advances in Distribution Theory, Order Statistics & Inference; 2006, p433-458, 26p |
| Abstrakt: |
This chapter compares models for dimension reduction in time series and tests of the dimension of the dynamic structure. We consider both stationary and nonstationary time series and discuss principal components, canonical analysis, scalar component models, reduced rank models, and factor models. The unifying view of canonical correlation analysis between the present and past values of the series is emphasized. Then, we review some of the tests based on canonical correlation analysis to find the dimension of the dynamic relationship among the time series. Finally, the procedures are compared through a real data example. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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