STAA 572 - Nonparametric Methods

  • 2 credits

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

Students may contact or by phone at (970) 491-7454 for information about this course.


STAA 551 (concurrent registration) or STAT 512 (concurrent registration) or STAT 540 (concurrent registration); STAA 561 (concurrent registration) or STAA 511A (concurrent registration) or STAT 511B (concurrent registration) or STAT 520 (concurrent registration).

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 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.


  • Introduction to Modern Nonparametric Statistics, 1st Ed.
    Higgins, James J.
    ISBN: 978-0534387754


F. Jay Breidt
F. Jay Breidt

(970) 491-6786 |

F. Jay Breidt is professor and past chair in the Department of Statistics at Colorado State University. Dr. Breidt joined the Colorado State faculty in 2001 after serving on the faculty in the Department of Statistics at Iowa State University since 1991. His research interests include time series, environmental monitoring, and survey sampling. He is a fellow of the American Statistical Association, elected member of the International Statistical Institute, and winner of the 2004 Distinguished Achievement Award from the American Statistical Association (ASA) Section on Statistics and the Environment. He is a member of the Federal Economic Statistics Advisory Committee and regularly serves on panels for the National Academies of Science. He received his M.S.and Ph.D. in statistics at Colorado State.

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