Over the last three decades, mixed models have been frequently used in a wide range of
small area applications. Such models offer great flexibilities in combining information from …

It has been an amazing time since the publication of the first edition, with vast changes
taking place in the fields of mixed effects models and their applications. At the time when the …

A small area typically refers to a subpopulation or domain of interest for which a reliable
direct estimate, based only on the domain-specific sample, cannot be produced due to small …

The particularly wide range of applications of small area prediction, eg in policy making
decisions, has meant that this topic has received substantial attention in recent years. The …

Small area estimation (SAE) is a branch of statistical science that combines methods and
tools of sampling and inference in finite populations, statistical models with random effects …

An accuracy measure (mean squared error, MSE) is necessary when small area estimators
of linear parameters are provided. Even in the case when such estimators arise from the …

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 …

Large sample techniques are fundamental to all fields of statistics. Mixed effects models,
including linear mixed models, generalized linear mixed models, non-linear mixed effects …

The paper studies the applicability of area-level Poisson mixed models to estimate small
area counting indicators. Among the available procedures for fitting generalized linear …

A new semiparametric and robust approach to small area estimation for discrete outcomes is
proposed. The methodology represents an efficient and easily computed alternative to …