Pages that link to "Item:Q1019514"

The following pages link to M-quantile models with application to poverty mapping (Q1019514):

Displaying 19 items.

• Spatial robust small area estimation (Q744798) (← links)
• Hierarchical Bayes multivariate estimation of poverty rates based on increasing thresholds for small domains (Q901552) (← links)
• Classification trees for poverty mapping (Q1658373) (← links)
• Small area estimation under a spatially non-linear model (Q1663085) (← links)
• Non-parametric bootstrap mean squared error estimation for \(M\)-quantile estimators of small area averages, quantiles and poverty indicators (Q1927072) (← links)
• Marginal M-quantile regression for multivariate dependent data (Q2143020) (← links)
• Robust Bayesian small area estimation based on quantile regression (Q2305298) (← links)
• Small area estimation under a temporal bivariate area-level linear mixed model with independent time effects (Q2665001) (← links)
• Small area mean estimation after effect clustering (Q5037044) (← links)
• Outlier detection and robust estimation in linear regression models with fixed group effects (Q5219520) (← links)
• M-quantile models for small area estimation (Q5503393) (← links)
• Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model (Q5861280) (← links)
• Regression trees for poverty mapping (Q6057866) (← links)
• Estimation and Testing in M‐quantile Regression with Applications to Small Area Estimation (Q6086600) (← links)
• A Comparison of Methods for Poverty Estimation in Developing Countries (Q6086621) (← links)
• Small Area Quantile Estimation (Q6090538) (← links)
• Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data (Q6107192) (← links)
• Three-fold Fay-Herriot model for small area estimation and its diagnostics (Q6122768) (← links)
• Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima-Peru (Q6136278) (← links)