The problem of small area estimation (SAE) is how to produce reliable estimates of
characteristics of interest such as means, counts, quantiles, etc., for areas or domains for …

Abstract The class of Empirical Best Predictors (EBP) is widely used in survey sampling and
small area estimation due to possibility of prediction of any population or subpopulation …

Body mass index (BMI) can be a useful indicator of health status, and people can fall in
different cells. Estimating BMI cell probabilities for small areas can be difficult, due to a lack …

Estimating the probabilities of possible outcomes for small areas can be difficult, due to a
lack of available data from national surveys. One of the statistical techniques for small area …

Small area estimation (SAE) has received considerable attention in the recent decades and
is becoming increasingly important for a variety of socio-economic and policy purposes …

The problem of predicting a vector of ordered parameters or its part arises in contexts such
as measurement error models, signal processing, data disclosure, and small area …

The problem of predicting a vector of ordered parameters or its part arises in the context of a
variety of applications in measurement error models, signal processing, data disclosure and …