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Msaidizi
Latent structureMultivariate analysis

Uchambuzi Imara wa Njia

Uchambuzi imara wa njia hutumia ukadiriaji imara — kama vile makosa ya kawaida ya sandwich au ukadiriaji wa M — kwa mifumo ya njia inayobainisha uhusiano wa kisababishi ulioelekezwa kati ya vigezo vinavyoonekana. Huhifadhi hitimisho halali kuhusu vigawo vya njia na athari zisizo za moja kwa moja wakati data inakiuka usambazaji wa kawaida, ina data potofu, au inaonyesha heteroscedasticity ambayo ingepotosha makosa ya kawaida ya kawaida.

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Soma mbinu kamili

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. Yuan, K.-H. & Bentler, P. M. (1998). Robust mean and covariance structure analysis. British Journal of Mathematical and Statistical Psychology, 51(1), 63–88. DOI: 10.1111/j.2044-8317.1998.tb00667.x
  2. Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Path Analysis. ScholarGate. https://scholargate.app/sw/statistics/robust-path-analysis

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.

Compare side by side

Imerejelewa na

ScholarGateRobust Path Analysis (Robust Path Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/robust-path-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026