Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. 
Home Statistical Tests Fundamendals Rank Randomization Tests  
See also: randomization tests  
Rank Randomization Tests
Two of the major drawbacks of randomization tests are the amount of required computing time and the fact that the randomization has to be carried out for each particular data set. Rank randomizations tests provide a solution to this problem, while maintaining independence of distributions. These tests are performed by first converting the scores to ranks and then computing the randomization test. The randomization, however, can be avoided by using precalculated tables for determining the level of significance. Rank randomization tests are always less powerful than randomization tests.
Some examples of rank randomization tests are:


Home Statistical Tests Fundamendals Rank Randomization Tests 
Last Update: 20121008