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STAA 572 - Nonparametric Methods

  • 2 credits

Rank-based methods, nonparametric inferential techniques, scatterplot smoothing, nonparametric function estimation, environmental applications.

If you should have any questions about this course offering, please contact Graduate & Online Program Coordinator, Alex Peitsmeyer.

Prerequisite

STAA 551 (Regression Models and Applications or concurrent registration) or Data Analysis and Regression; STAA 562 (Mathematical Statistics with Applications or concurrent registration) or Mathematical Statistics; Written consent of instructor. This is a partial-semester course.

Important Information

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 stats_ddp@mail.colostate.edu. 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.

Instructors

Piotr Kokoszka
Piotr Kokoszka

9704916870 | piotr.kokoszka@colostate.edu

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.