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Bayesian methodsBayesian / computational

Uiguzi wa Bootstrap wa Ngazi Nyingi

Uiguzi wa bootstrap wa ngazi nyingi ni mbinu ya upyaji sampuli iliyoundwa kwa ajili ya data iliyopangwa kwa nguzo au muundo wa ngazi. Huhifadhi muundo wa data uliowekwa kwa kupanga upya sampuli katika kila ngazi kivyake — kwanza huchora nguzo (k.w. shule, hospitali), kisha huchora vipimo ndani ya kila nguzo iliyopangwa — ili seti za data za nakala za bootstrap zionyeshe shirika hilohilo la ngazi nyingi kama data asili.

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Vyanzo

  1. Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7(1), 1–26. DOI: 10.1214/aos/1176344552
  2. Davison, A. C. & Hinkley, D. V. (1997). Bootstrap Methods and their Application. Cambridge University Press. ISBN: 978-0521574716

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multilevel Bootstrap Simulation. ScholarGate. https://scholargate.app/sw/bayesian/multilevel-bootstrap-simulation

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

ScholarGateMultilevel Bootstrap Simulation (Multilevel Bootstrap Simulation). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/bayesian/multilevel-bootstrap-simulation · Seti ya data: https://doi.org/10.5281/zenodo.20539026