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Bayesian methodsBayesian / computational

Spatial Monte Carlo Simulation

Spatial Monte Carlo-simulering anvender tilfældige stikprøvemetoder på spatiale problemer, hvorved der genereres mange stokastiske realiseringer af en spatial proces — såsom et tilfældigt felt, et punktmønster eller et netværk — for at estimere fordelingsmæssige egenskaber, propagere usikkerhed eller teste spatiale hypoteser. Det er en hjørnestensteknik inden for geostatistik, spatial epidemiologi, økologi og miljømodellering.

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Kilder

  1. Ripley, B. D. (1987). Stochastic Simulation. John Wiley & Sons. ISBN: 978-0471818847
  2. Diggle, P. J. (2003). Statistical Analysis of Spatial Point Patterns (2nd ed.). Arnold. ISBN: 978-0340740669

Sådan citerer du denne side

ScholarGate. (2026, June 3). Spatial Monte Carlo Simulation. ScholarGate. https://scholargate.app/da/bayesian/spatial-monte-carlo-simulation

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ScholarGateSpatial Monte Carlo Simulation (Spatial Monte Carlo Simulation). Hentet 2026-06-15 fra https://scholargate.app/da/bayesian/spatial-monte-carlo-simulation · Datasæt: https://doi.org/10.5281/zenodo.20539026