Nonparametric Statistical Methods
This course will cover the basic principles of nonparametric methods in statistics including: one, two and K sample location methods; tests of randomness; tests of goodness of fit; nonlinear correlation; histogram; density estimation; nonparametric regression.
Prerequisite: STAT 203 or STAT 335 with C- or better.
Students should learn how to apply the nonparametric techniques in real datasets, interpret the results and draw conclusions.
Prerequisite: STAT 203 or STAT 335 with C- or better.
Students should learn how to apply the nonparametric techniques in real datasets, interpret the results and draw conclusions.