Applied Statistical Methods

This course is an introduction to the methods and applications of fitting multiple regression and time series models. For regression models, the primary emphasis is on the method of least squares and its many varieties. Topics include the examination of residuals, the transformation of data, strategies and criteria for the selection of a regression equation, the use of dummy variables, tests of fit, and the use and interpretation of computer package regression programs. For time series models, topics include auto-regression and moving average models, identification and fitting, forecasting.