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Hypothesis testClassical statistics

Kipimo cha Robust Chi-Square

Kipimo cha robust chi-square huongeza mfumo wa kawaida wa Pearson chi-square ili kubaki kuwa wa kuaminika wakati dhana za kawaida — hasa sheria ya kiwango cha chini cha hesabu zinazotarajiwa — zinapokiukwa. Kwa kutumia takwimu za utawanyiko wa nguvu (Cressie & Read, 1984) au marekebisho yanayotokana na upyaji, hutoa hitimisho halali kwa meza za utangamano zenye upungufu, sampuli ndogo, na data za kategoria zisizo sawa ambapo makadirio ya kawaida ya chi-square yanashindwa.

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Kwa wanachama pekee

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Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Cressie, N., & Read, T. R. C. (1984). Multinomial goodness-of-fit tests. Journal of the Royal Statistical Society: Series B, 46(3), 440–464. DOI: 10.1111/j.2517-6161.1984.tb01318.x
  2. Agresti, A. (2002). Categorical Data Analysis (2nd ed.). Wiley-Interscience. ISBN: 978-0471360933

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Chi-Square Test of Independence / Goodness-of-Fit. ScholarGate. https://scholargate.app/sw/statistics/robust-chi-square-test

Which method?

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

ScholarGateRobust chi-square test (Robust Chi-Square Test of Independence / Goodness-of-Fit). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/robust-chi-square-test · Seti ya data: https://doi.org/10.5281/zenodo.20539026