Just as with other problems, there is a difference between randomization testing and bootstrap estimation. In the former, we are primarily interested in hypothesis testing, whereas the latter is ...

Just as with other problems, there is a difference between randomization testing and bootstrap estimation. In the former, we are primarily interested in hypothesis testing, whereas the latter is ...

Abstract: This paper applies randomization theory to the problem of selecting software test cases for software systems and applications in order to overcome the hurdle of high cost in testing ...

We consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y⫫X∣Z. The conditional ...

Covariate-adaptive designs are widely used to balance covariates and maintain randomization in clinical trials. Adaptive designs for discrete covariates and their asymptotic properties have been well ...

Now that we have learned about hypothesis testing, we'll explore a different example. Although the rubric for performing the hypothesis test will not change, the individual steps will be implemented ...

This project was created to understand how different randomization algorithms compare to eachother exclusively written in C++. Each group member created their own randomization algorithm then we ...