Multiple Time Series Models introduces researchers and students to the different approaches to modeling multivariate time series data including simultaneous equations, ARIMA, error correction models, and vector autoregression. Authors Patrick T. Brandt and John T. Williams focus on vector autoregre
Multiple Time Series Models (Quantitative Applications in the Social Sciences)
โ Scribed by Patrick T. Brandt, John Taylor Williams
- Year
- 2006
- Tongue
- English
- Leaves
- 121
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
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