Cargando…
Methods for Estimating Population Density in Data-Limited Areas: Evaluating Regression and Tree-Based Models in Peru
Obtaining accurate small area estimates of population is essential for policy and health planning but is often difficult in countries with limited data. In lieu of available population data, small area estimate models draw information from previous time periods or from similar areas. This study focu...
Autores principales: | Anderson, Weston, Guikema, Seth, Zaitchik, Ben, Pan, William |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4081515/ https://www.ncbi.nlm.nih.gov/pubmed/24992657 http://dx.doi.org/10.1371/journal.pone.0100037 |
Ejemplares similares
-
Uncertainty in Model Predictions of Vibrio vulnificus Response to Climate Variability and Change: A Chesapeake Bay Case Study
por: Urquhart, Erin A., et al.
Publicado: (2014) -
Interdisciplinary Theory, Methods, and Approaches for Hazards and Disaster Research: An Introduction to the Special Issue
por: Peek, Lori, et al.
Publicado: (2021) -
Nonparametric estimation of probability densities and regression curves
por: Nadaraya, E A
Publicado: (1989) -
Classification and regression trees
por: Breiman, Leo, et al.
Publicado: (1984) -
Classification and regression trees /
Publicado: (1984)