A non-parametric test for the bivariate c-sample problem is proposed. The test is an extension of a bivariate two-sample test given by Mardia (1967) and possesses various desirable properties. We ...

Scandinavian Journal of Statistics, Vol. 45, No. 2 (June 2018), pp. 217-254 (38 pages) Non-parametric generalized likelihood ratio test is a popular method of model checking for regressions. However, ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages ...

When evaluating risk exposure, many organizations have adopted the value at risk, or VaR, metric, which is a statistical risk management technique measuring the maximum loss that an investment ...

The foundation of parametric test within semiconductor manufacturing is its usefulness in determining that wafers have been fabricated properly. Foundries use parametric test results to help verify ...