Hypothesis testClassical statistics

Robusni Fridmanov test

Robusni Fridmanov test je neparametarska procedura za poređenje tri ili više povezanih (unutar-subjektnih) uslova koja zamenjuje standardno rangiranje ili sumiranje na osnovu proseka robustnim procenama lokacije — tipično odsečenim sredinama ili Winsorizovanim statistikama — kako bi se smanjio uticaj autlajera i distribucija sa teškim repovima na zaključivanje.

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Izvori

  1. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
  2. Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. DOI: 10.1080/01621459.1937.10503522

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Robust Friedman Test for Repeated Measures. ScholarGate. https://scholargate.app/sr/statistics/robust-friedman-test

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Citirana u

ScholarGateRobust Friedman test (Robust Friedman Test for Repeated Measures). Preuzeto 2026-06-15 sa https://scholargate.app/sr/statistics/robust-friedman-test · Skup podataka: https://doi.org/10.5281/zenodo.20539026