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The Importance of Non-Parametric Tests in Statistical Analysis

Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...
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A Non-parametric ANOVA-type Test for Regression Curves Based on Characteristic Functions

This is a preview. Log in through your library . Abstract This article studies a new procedure to test for the equality of k regression curves in a fully non-parametric context. The test is based on ...
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When to Use Kruskal-Wallis Instead of ANOVA in Statistical Analysis

The ANOVA analysis of variance test is a fantastic tool when your data follows the normal distribution. Should your data fall outside of this category, you have the Kruskal-Wallis test. The ...
JSTOR Daily

A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 65, No. 3 (APRIL 2016), pp. 395-414 (20 pages) Motivated by an imaging study, the paper develops a non-parametric testing ...