Introductory Nonparametric Statistics *

Course Number: 
351
Credits: 
3
Frequency: 
Spring
Course Description: 
Distribution free statistical procedures or methods valid under nonrestrictive assumptions: basic tools; counting methods; order statistics, ranks, empirical distribution functions; distribution free tests and associated interval and point estimators; sign test; signed rank tests; rank tests; Mann Whitney Wilcoxon procedures; Kolmogorov Smirnov tests; permutation methods; kernel density estimation; kernel and spline regression estimation; computer techniques and programs; discussion and comparison with parametric methods...
Course Prerequisites: 
Stat 333
Course Audience: 
Students majoring in math or statistics or those wishing to take additional statistics courses.