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.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7(1), 1–26. DOI: 10.1214/aos/1176344552 ↗
- 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.
- Uigaji wa uhimilivu kwa data yenye upungufuMbinu za Bayes↔ compare
- Sampuli ya GibbsMbinu za Bayes↔ compare
- Utafsiri wa Kibayes wa KienyejiMbinu za Bayes↔ compare
- MCMC ya Ngazi NyingiMbinu za Bayes↔ compare
- Uchanganuzi wa Kiwango-Nyingi wa DhanaMbinu za Bayes↔ compare
- Monte Carlo SekwenshialiMbinu za Bayes↔ compare
Imerejelewa na
Umeona tatizo kwenye ukurasa huu? Ripoti au pendekeza marekebisho →