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 …

An accessible introduction to indirect estimation methods, both traditional and model-based.
Readers will also find the latest methods for measuring the variability of the estimates as …

Mixed Poisson distributions have been used in a wide range of scientific fields for modeling
non homogeneous populations. This paper aims at reviewing the existing literature on …

Bayesian methods have been used quite extensively in recent years for solving small-area
estimation problems. Particularly effective in this regard has been the hierarchical or …

This is the review component of the report on small area estimation theory that was prepared
as part of Southampton's involvement in the EURAREA “Enhancing small area estimation …

Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from
the basics of disease mapping to the most advanced topics in this field. A multidimensional …

France is located in an area with a medium to high prevalence of multiple sclerosis, where
its epidemiology is not well known. We estimated the national and regional prevalence of …

This report is part of a series of activities to review and assess methods for exploratory
spatial data analysis and spatial statistics as they pertain to the study of the geography of …

Background: Breast cancer is the most frequently diagnosed cancer in women and
estimating its relative risks and trends of incidence at the area-level is helpful for health …

This paper considers estimation of cancer incidence rates for local areas. The raw estimates
usually are based on small sample sizes, and hence are usually unreliable. A hierarchical …