Praise for the First Edition" This pioneering work, in which Rao provides a comprehensive
and up-to-date treatment of small area estimation, will become a classic... I believe that it has …

Small area estimation is studied under a spatio-temporal Fay–Herriot model. Model fitting
based on restricted maximum likelihood is described and empirical best linear unbiased …

For many sample surveys, researchers, policymakers, and other stakeholders are interested
in obtaining estimates for various domains, such as for geographic levels, for demographic …

Abstract Multivariate Fay–Herriot models for estimating small area indicators are introduced.
Among the available procedures for fitting linear mixed models, the residual maximum …

Concerning the estimation of linear parameters in small areas, a nested-error regression
model is assumed for the values of the target variable in the units of a finite population …

Modern systems of official statistics require the accurate and timely estimation of
sociodemographic indicators for disaggregated geographical regions. Traditional data …

The unit-level small area estimation approach has no standard procedure and each case
needs separate modeling when the domain parameters are not linear or the target variable …

The aim of the paper is the estimation of small area labour force indicators like totals of
employed and unemployed people and unemployment rates. Small area estimators of these …

The article applies unit-level logit mixed models to estimating small-area weighted sums of
probabilities. The model parameters are estimated by the method of simulated moments …

This paper introduces a three-fold Fay–Herriot model with random effects at three
hierarchical levels. Small area best linear unbiased predictors of linear indicators are …