Rekodi ya ushahidi wa mbinu

Bayesian descriptive statistics

Bayesian descriptive statistics summarizes data by combining observed information with prior knowledge through Bayes' theorem, yielding posterior distributions over parameters such as the mean and variance. Instead of point estimates and p-values, results are expressed as posterior means, medians, and credible intervals that carry a direct probability interpretation.

Sources recorded, not reviewed

Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

Bayesian Descriptive Statistics

Rekodi ya mbinu ya kiajenda · hypothesis-test / statistics

Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. · ISBN 978-1439840955
Kruschke, J. K. (2014). Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (2nd ed.). Academic Press. · ISBN 978-0124058880

Fungua mbinu kamili

Madai yaliyotunzwa

Madai yamehifadhiwa katika daftari la ushahidi, kila moja ikiwa na tathmini yake.

Hakuna madai yaliyotunzwa bado

Mwonekano huu haubuni tathmini ya dai wakati daftari haina yoyote.

Mbinu zinazohusiana

Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.

Taxonomic bucketBayesian chi-square testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Independent Samples t-testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketEffect size analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPower analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Descriptive Statisticsmachine-suggested · Relational suggestion, not evidence.