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Process / pipelinedistribution-free-methods

Vipimo vya Takwimu Visivyo vya Parametrik

Vipimo visivyo vya parametrik (huru kutoka usambazaji) ni mbinu za takwimu kwa ajili ya kupima nadharia ambazo hazidai kuwa data hufuata usambazaji maalum wa uwezekano (k.m., wa kawaida), jambo linalozifanya ziwe thabiti dhidi ya kuondoka kutoka kwa usawa, vipimo vya nje, na data za mpangilio. Vipimo vya Mann-Whitney U (1947) na Kruskal-Wallis (1952) vinapanua upimaji wa nadharia zaidi ya vikwazo vya dhana za parametrik. Muhimu katika biolojia, dawa, saikolojia, na nyanja yoyote ambapo data si za kawaida, zimepotoka sana, au hupimwa kwa mizani ya mpangilio (cheo, tathmini), vipimo visivyo vya parametrik hutoa uhitimisho halali wakati dhana za parametrik zinaposhindwa.

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Vyanzo

  1. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60. DOI: 10.1214/aoms/1177730491
  2. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. DOI: 10.1080/01621459.1952.10483441
  3. Conover, W. J. (1999). Practical Nonparametric Statistics (3rd ed.). John Wiley & Sons. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 4). Distribution-Free Hypothesis Testing. ScholarGate. https://scholargate.app/sw/research-statistics/nonparametric-tests

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateNonparametric Statistical Tests (Distribution-Free Hypothesis Testing). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/research-statistics/nonparametric-tests · Seti ya data: https://doi.org/10.5281/zenodo.20539026