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MATH 564 - Applied Statistics

Course Description: 

Simple linear regression; multiple linear regression; least squares estimates of parameters; hypothesis testing and confidence intervals in linear regression models; testing of models, data analysis, and appropriateness of models; linear time series models; moving average, autoregressive and/or ARIMA models; estimation, data analysis, and forecasting with time series models; forecasting errors and confidence intervals. Credit may not be granted for both MATH 484 and MATH 564.

Credit: 

(3-0-3)

Prerequisite: 

[(MATH 474 with min. grade of C) OR (MATH 476 with min. grade of C) OR (MATH 563 with min. grade of C)]

Corequisite: 

None

Attachments: