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 has print-based exams that require a proctor. A Distance Proctor Form will be required. Electronic proctoring is not available for this.
This course can be applied towards:
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 firstname.lastname@example.org. 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.
Textbook and Materials
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.