STA 364 - Time Series Applications (1)

Time series analysis is a vital set of tools to investigate data from many fields such as business, economics, engineering, biology, medicine, social sciences, and politics. Often change (or absence) of a variable over time is worth understanding and possibly anticipating. In this class an array of time series methods will be covered including those for correlation analysis and forecasting, stochastic models, regression analysis with time related variables, and stationary/nonstationary models. Prerequisite(s): STA 202 . Alternate years.