Moving average and auto-regression correlation structures, estimation and forecasting, modeling seasonality. Financial and environmental applications.
Students may contact Jana.Anderson@colostate.edu or by phone at (970) 491-7454 for information about this course.
This course requires proctored exams. Details will be provided in the course syllabus.
This course can be applied toward:
STAA 551 (Regression Models and Applications or concurrent registration) or STAT 540 (Data Analysis and Regression); STAA 561 (Probability with Applications or concurrent registration) or STAT 520 (Introduction to Probability Theory). Written consent of instructor. This is a partial-semester course.
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at email@example.com. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
Textbooks and Materials
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
- Time Series Analysis and Its Applications: With R Examples, 4th Ed.
Shumway, Robert H. and Stoffer, David S.
Professor Kokoszka's research focuses on statistical modeling and inference. Areas of current interest include: functional data analysis, time series analysis and spatial statistics, applications to finance and geosciences. Piotr enjoys swimming, biking and history.