STAT 567 Linear Models and Time Series

Introduction to the methods of least squares and time series. Topics include general linear models, least squares estimators, inference, hypothesis testing, and forecasting with ARIMA models. Other topics may include diagnostics, remedial measures, and statistical model-building strategies such as model selection and validation. Methods are illustrated with data sets drawn from the health, biological, and social sciences. Computations require the use of statistical software such as R or SAS.