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HU Credits:
5
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Statistics
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Pavel Chigansky
Coordinator Office Hours:
by appointment
Teaching Staff:
Prof Pavel Chigansky,
Ms. yulia slavutsky
Course/Module description:
Introduciton to nonparametric statistics
Course/Module aims:
Learning the basic principals and methods of nonparametric statistics
Learning outcomes - On successful completion of this module, students should be able to:
Basic knowledge in nonparametric statistics, inlcuding theory and methods
Attendance requirements(%):
None
Teaching arrangement and method of instruction:
Lectures and Exercise Sessions
Course/Module Content:
Estimation of distribution
Estimation of statistical functionals and substitution estimators
Bootstrap method
Kernel estimators
Local polynomial estimators
Projection estimators
Wavelets estimators
Splines estimators
Bayesian estimators
Goodness-of-fit tests
Tests based on ranks
Required Reading:
none
Additional Reading Material:
Additional recommended reading material will be distributed over the course of the semester
Course/Module evaluation:
End of year written/oral examination 80 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 0 %
Reports 0 %
Research project 0 %
Quizzes 20 %
Other 0 %
Additional information:
The exam will take place in class in the usual way if possible
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