Large surveys are becoming increasingly available for public use, and researchers are often
faced with the need to analyse complex survey data to address key scientific issues. For …

Small Area Estimation and Microsimulation Modeling is the first practical handbook that
comprehensively presents modern statistical SAE methods in the framework of ultramodern …

When the probabilities of selecting individuals (units) for the sample depend on the outcome
values, the selection mechanism is said to be informative. Under informative selection …

An estimator of a total for a population subgroup or domain is usually constructed with an
underlying model in mind. Important features of the model include the mathematical …

Small area estimation with M‐quantile models was proposed by Chambers and Tzavidis ().
The key target of this approach to small area estimation is to obtain reliable and outlier …

The main sources of statistical data on monetary and non‐monetary poverty are from sample
surveys on income and living conditions. These rarely give credible estimates at sub …

Lehtonen and Veijanen (1999) proposed a new model-assisted generalized regression
(GREG) estimator of a small area mean under a two-level model. They have shown that the …

This chapter discusses design‐based model‐assisted methods for the estimation of
indicators on inequality and poverty for population subgroups or domains and small areas …

Estimation for population subgroups or domains is investigated for model-assisted
generalized regression (GREG) and model-dependent EBLUP estimators, under different …