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Undergraduate |
(SCI)
|
Leader: Professor Fima Klebaner
Offered:
Clayton Second semester 2005 (Day)
Synopsis: Multivariate distributions. Estimation: maximum of likelihood and method of moments. Confidence intervals. Analysis in the time domain: stationary models, autocorrelation, partial autocorrelation. ARMA and ARIMA models. Analysis in the frequency domain (Spectral analysis): spectrum, periodigram, linear and digital filters, cross-correlations and cross-spectrum, spectral estimators, confidence interval for the spectral density. State-space models. Kalman filter. Empirical Orthogonal Functions and other Eigen Methods. Use of MINITAB.
Assessment: Examination (3 hours): 60% + Assignments, tests and participation in tutorials: 40%
Contact Hours: Three 1-hour lectures and one 1-hour tutorial class per week
Prerequisites: MTH2010 or MTH2032 or MTH222. MTH2222 is highly recommended.
Prohibitions: STA3042