Analytical Alternatives to the Monte Carlo Simulation of Spatial Diffusion
Dados Bibliográficos
| ID | 8375822 |
|---|---|
| Autores | Lakshman Yapa (Boston University, autor correspondente), Lakshman S Yapa |
| Ano | 1975 |
| Volume | 65 |
| Fascículo | 2 |
| Páginas | 163-175 |
| Data de publicação | 1975-06-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Annals of the Association of American Geographers (JOURNAL) |
| Identificadores do periódico | ISSN: 0004-5608 • E-ISSN: 1467-8306 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1111/j.1467-8306.1975.tb01028.x |
| OpenAlex | W2040615927 |
| Idioma | EN |
| Citações recebidas | 3 |
A single map of the spread of an innovation produced from a Monte Carlo simulation is equivalent from the viewpoint of sampling theory to a random sample of size one drawn from the set of all possible maps. A sample mean is a more reliable estimator of the population mean when the sample size is large. In the simulation of diffusion the recommended practice has been to obtain an average map based on several repetitions of the simulation, but the average map can be produced directly in a few analytical steps, thus obviating the need for the cumbersome sampling procedure implicit in the Monte Carlo approach
Estimator · Hybrid Monte Carlo · Markov chain Monte Carlo · Monte Carlo integration · Monte Carlo method · Monte Carlo method in statistical physics · Physics · Population · Sample (material) · Sample size determination · Sampling (signal processing) · Statistical physics · Statistics · Computer Science · Firm Innovation and Growth · Mathematics
| Obras citantes distintas | 3 |
|---|---|
| Citações por ano | 0,06 |
| Intervalo de citações | 1977 - 1979 (3) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 3 |