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 …

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 …

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 …

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 …

Abstract National Forest Inventories (NFI) are designed to produce unbiased estimates of
forest parameters at a variety of scales. These parameters include means and totals of …

Calibration techniques in survey sampling, such as generalized regression estimation
(GREG), were formalized in the 1990s to produce efficient estimators of linear combinations …

This study introduces five facets that can improve inference in small area estimation (SAE)
problems:(1) model groups,(2) test of area effects,(3) conditional EBLUPs,(4) model …

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 …

The present work illustrates a sampling strategy useful for obtaining planned sample size for
domains belonging to different partitions of the population and in order to guarantee the …