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Ranking procedures for repeated measures designs with missing data: Estimation, testing and asymptotic theory
We develop purely nonparametric methods for the analysis of repeated measures designs with missing values. Hypotheses are formulated in terms of purely nonparametric treatment effects. In particular, data can have different shapes even under the null hypothesis and therefore, a solution to the nonpa...
Autores principales: | Rubarth, Kerstin, Pauly, Markus, Konietschke, Frank |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721540/ https://www.ncbi.nlm.nih.gov/pubmed/34841991 http://dx.doi.org/10.1177/09622802211046389 |
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