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Institution:
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University of Washington-Seattle Campus
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Subject:
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Statistics
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Description:
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Descriptive techniques. Stationary and nonstationary processes, including ARIMA processes. Estimation of process mean and autocovariance function. Fitting ARIMA models to data. Statistical tests for white noise. Forecasting. State space models and the Kalman filter. Robust time series analysis. Regression analysis with correlated errors. Statistical properties of long memory processes. Offered: A.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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STAT 513
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(206) 543-2100
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Regional Accreditation:
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Northwest Commission on Colleges and Universities
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Calendar System:
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Quarter
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