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STAT 4215: Time Series Data Analysis

(Dual-listed with STAT 5215).
Credits: 3. Contact Hours: Lecture 3.

Prereq: STAT 3010, STAT 3260, STAT 5101, or STAT 5260
Methods for analyzing data collected over time; review of multiple regression analysis. Elementary forecasting methods: moving averages and exponential smoothing. Autoregressive-moving average (Box-Jenkins) models: identification, estimation, diagnostic checking, and forecasting. Transfer function models and intervention analysis. Introduction to multivariate time series methods. Graduation Restriction: May not be used for graduate credit in the Statistics MS and PhD degree programs. (Typically Offered: Spring)

Statistics

https://catalog.iastate.edu/collegeofliberalartsandsciences/statistics/
The curriculum in liberal arts and sciences with a major in statistics is designed to prepare students for (1) statistics positions in business, industry or commerce, nonprofit institutions, and in state or federal government; and (2) graduate study in statistics. Positions include the following types of work: statistical design, data visualization, analysis and interpretation of experiments and surveys; data processing and analysis using modern computation facilities and statistical computing systems; application of statistical principles and methods in commercial areas such as finance, insurance, industrial research, technology, marketing, manufacturing, sports analytics, quality control, and nonprofit organizations, such as institutions involved in health care or medical research.