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Hypothesis testClassical statistics

Mtihani-t thabiti wa sampuli moja (Wastani Uliopunguzwa)

Mtihani-t thabiti wa sampuli moja hubadilisha wastani wa kawaida na wastani uliopunguzwa na kiwango cha kupotoka cha sampuli na kiwango cha kupotoka cha Winsorized ili kulinganisha mahali pa idadi ya watu dhidi ya thamani iliyodaiwa. Unadumisha mfumo wa uamuzi wa mtihani-t huku ukipunguza kwa kiasi kikubwa unyeti kwa maadili ya nje na usambazaji wenye ncha nzito, na kuufanya uwe wa kuaminika katika data halisi inayoendelea ambayo hutofautiana na kawaida.

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Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

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

Vyanzo

  1. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
  2. Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI: 10.1093/biomet/61.1.165

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust One-Sample Location Test Using Trimmed Mean. ScholarGate. https://scholargate.app/sw/statistics/robust-one-sample-t-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 one-sample t-test (Robust One-Sample Location Test Using Trimmed Mean). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/robust-one-sample-t-test · Seti ya data: https://doi.org/10.5281/zenodo.20539026