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Course Info

  • Course Number / Code:
  • 18.465 (Spring 2005) 
  • Course Title:
  • Topics in Statistics: Nonparametrics and Robustness 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Mathematics 
  • Course Instructor(s):
  • Prof. Richard Dudley 
  • Course Introduction:
  •  


  • 18.465 Topics in Statistics: Nonparametrics and Robustness



    Spring 2005




    Course Highlights


    This course features supplementary lecture notes and assignments.


    Course Description


    This graduate-level course focuses on one-dimensional nonparametric statistics developed mainly from around 1945 and deals with order statistics and ranks, allowing very general distributions.

    For multidimensional nonparametric statistics, an early approach was to choose a fixed coordinate system and work with order statistics and ranks in each coordinate. A more modern method, to be followed in this course, is to look for rotationally or affine invariant procedures. These can be based on empirical processes as in computer learning theory.

    Robustness, which developed mainly from around 1964, provides methods that are resistant to errors or outliers in the data, which can be arbitrarily large. Nonparametric methods tend to be robust.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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