Sentence examples for area estimation from inspiring English sources

Poverty mapping uses small area estimation techniques to estimate levels of deprivation (poverty, undernutrition) across small geographic domains within a country.

The two main challenges of small area estimation are calculating the estimate with any level of precision given the small sample size at the small area level and estimation of its prediction error and there is no consensus on which small area estimation technique provides the most precise estimate with the smallest prediction error.

Such initiatives commonly rely on spatially aligned forest inventory plot measurements and LiDAR covariates to inform model-based estimators for small area estimation.

Unit level random effects models, such as nested error regression models, are often used in small area estimation to obtain efficient model-based estimators of small area means.

Future efforts should explore approaches such as joint simulation 61 and small area estimation 62 techniques to describe the uncertainties around area-level estimates of risks robustly.

In such cases, model based small area estimation techniques can be considered to improve the precision of the estimates.

Hierarchical modeling has been used extensively for small area estimation.

We followed two strategies for rooftop area estimation.

As such, small area estimation and its application are valuable when conducting research on Official Statistics.

It reviews various approaches to statistical inference, accuracy assessment, and area estimation.

However, the small area estimation for the Gini coefficient has not been thoroughly investigated.