Statistics 520: Time Series and Applications

An introduction to stationary time series intended for students wanting to follow up first courses in both probability and statistic. Stationarity, auto-covariance function and spectrum; integral representation of a stationary time series and interpretation; linear filtering, transfer functions; estimation of spectrum; multivariate time series are covered.  Statistical computer programs such as ITSM, RATS and/or SAS are used.

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