In cases where transformations do not resolve assumption violations, non-parametric tests offer an alternative. These tests do not rely on the assumptions required by parametric tests, although ...

Abstract Research of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Fibromyalgia (FM), two acquired chronic illnesses affecting mainly females, has failed to ascertain their frequent ...

This work presents potentially important findings suggesting that a combination of transcranial stimulation approaches applied for a short period could improve memory performance after administration.

The course also covers simple non-parametric tests for comparing groups of observations. Methods such as the bootstrap for constructing confidence intervals in the case of skewed data is also covered.

At the end of this module you can Describe the differences between parametric and nonparmetric methods Give nonparametric alternatives for some parametric methods. Use bootstrapping and permutation ...

Unfortunately, the assumptions required for these tests were violated and no non-parametric alternatives were available (79). We were thus unable to formally test the differences between staff and ...

Test your knowledge on private equity, commodities, fine art and more.

A new test developed at the University of Illinois Urbana-Champaign can predict the performance of a new type of cementitious ...

France-based nuclear start-up Naarea (Nuclear Abundant Affordable Resourceful Energy for All) Naarea has opened its ...

Tests which require the data to meet assumptions are called parametric tests. If you find that your data don’t meet the assumptions for the test you would like to perform, you may find there is a ...