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Two-Step Hypothesis Testing When the Number of Variables Exceeds the Sample Size
Medical images and genetic assays typically generate data with more variables than subjects. Scientists may use a two-step approach for testing hypotheses about Gaussian mean vectors. In the first step, principal components analysis (PCA) selects a set of sample components fewer in number than the s...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2012
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4028141/ https://ncbi.nlm.nih.gov/pubmed/24855328 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610918.2012.659819 |
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