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 Date: 2005-03-11 10:23:12Autoregressive integrated moving average Unit root Dickey–Fuller test Stationary process Correlogram Autocorrelation T-statistic Mann–Whitney U F-test Statistics Time series analysis Statistical tests |
| doi:rspbDocID: 1n34M - View Document |
| Applying GLM Model and ARIMA Model to the Analysis Of Monthly Temperature of Stockholm Author: Xier Li Supervisor: Mikael MöllerDocID: 1gE4N - View Document |
| Periodogram and Correlogram Methods Lecture 2DocID: 1f1jr - View Document |
| Nina Siu-Ngan Lam, Ming Fan, and Kam-biu Liu Spatial- Temporal Spread of the AIDS Epidemic, : A Correlogram Analysis of Four Regions of the United StatesDocID: 1cMfz - View Document |
| 0.1 ARIMA: ARIMA Models for Time Series Data Use auto-regressive, integrated, moving-average (ARIMA) models for time series data. A time series is a set of observations ordered according to the time they were observed.DocID: 1aR6o - View Document |