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Hypothesis testClassical statistics

Kipimo cha t cha sampuli huru za Kibayesiani

Kipimo cha t cha sampuli huru za Kibayesiani huweka kiasi cha ushahidi kwa ajili au dhidi ya tofauti ya wastani kati ya vikundi viwili huru kwa kutumia kipimo cha Bayes badala ya thamani ya p. Kikitokana na mfumo wa uwezekano wa Jeffreys na kuenezwa na Rouder et al. (2009), huweka kipaumbele cha Cauchy kwenye ukubwa wa athari uliowekwa kawaida na hurudisha ushahidi unaoendelea kwa hypotheses zote mbili za sifuri na mbadala.

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Method map

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

Vyanzo

  1. Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237. DOI: 10.3758/PBR.16.2.225
  2. Jeffreys, H. (1961). Theory of Probability (3rd ed.). Oxford University Press. ISBN: 978-0198503682

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Independent Samples t-test. ScholarGate. https://scholargate.app/sw/statistics/bayesian-independent-samples-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

ScholarGateBayesian Independent Samples t-test (Bayesian Independent Samples t-test). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/bayesian-independent-samples-t-test · Seti ya data: https://doi.org/10.5281/zenodo.20539026