Nonparametric Statistics

Course No.: SMJ2222117    Credit(s): 2

Course Description

Nonparametric Statistics is an important branch of statistics and is a data analysis method which is independent of the general distribution and is one of the most commonly used statistical analysis methods in actual work. This course is one of the main courses of economics, management, education and medicine in higher education, and also is one of the core courses of undergraduates majoring in Statistics of Anhui University of Finance and Economics.

Course Learning Outcomes

By the study of this course, students can know the difference between parametric statistics and nonparametric statistics, master the basic concepts, basic principles and basic methods of nonparametric statistics, and also can use nonparametric statistical methods to handle actual data by statistical software and give reasonable explanations for the calculation results.

Relationship to Other Courses

The prerequisite for this course is Linear Algebra, Mathematical Statistics and Statistics.

Textbook and Reading Lists

Textbook:

Xizhi Wu, Nonparametric Statistics. China Statistics Press, 1999.

Suggested reading lists:

S. Siegel, Nonparametric Statistics. Science Press, 1993.

Xiru Chen, Nonparametric Statistical Tutorial. East China Normal University Press, 1993.

Shanze Sun, Nonparametric Statistical Handout. Peking University press, 2000.

Course Assessment

Course Schedule