Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

In the common non-parametric regression model the problem of testing for the parametric form of the conditional variance is considered. A stochastic process based on the difference between the ...

Scandinavian Journal of Statistics, Vol. 28, No. 4 (Dec., 2001), pp. 725-732 (8 pages) We consider the comparison of point processes in a discrete observation situation in which each subject is ...

The Wilcoxon signed rank test, which is also known as the Wilcoxon signed rank sum test and the Wilcoxon matched pairs test, is a non-parametric statistical test used to compare two dependent samples ...

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...

Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...