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PSTATW274

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PSTATW 274 - Time Series

Statistics & Applied Probability College of Letters and Science

Full Course Title

Time Series

Instructor Name(s)

Feldman

Course Description

Stationary and non-stationary models, seasonal time series, ARMA models: calculation of ACF, PACF, mean and ACF estimation. Barlett's formula, model estimation: Yule-Walker estimates, ML method. Identification techniques, diagnostic checking, forecasting, spectral analysis, the periodogram. Current software and applications.

Unit Value

4

Maximum number of times course can be repeated for additional credit

99

Maximum Units

99

Prerequisites

PSTAT 120A-B.

Repeat Comments

PSTAT W 274 is the online version of PSTAT 274