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 …

Irving W. Burr wrote the first edition (Burr 1979) of this book, which was considered an
outstanding book for quality control practitioners and a leading book in this area. After his …

Abstract Model uncertainty hampers consensus on the key determinants of economic
growth. Some recent cross-country cross-sectional analyses have employed Bayesian …

Profile monitoring is a relatively new set of techniques in quality control used when the
product or process quality is best represented by a function (or a curve) at each time period …

Growth-curve models are generalized multivariate analysis-of-variance models. The basic
idea of the models is to use different polynomials to fit different treatment groups involved in …

Hierarchical structures are omnipresent in today's society—this is reflected in the data that
we collect on all aspects of this society. Hierarchical linear models allow a representation of …

This paper proposes several case‐deletion measures for assessing the influence of an
observation for complicated models with real missing data or hypothetical missing data …

This paper introduces a three-fold Fay–Herriot model with random effects at three
hierarchical levels. Small area best linear unbiased predictors of linear indicators are …

Nonlinear mixed-effects models are very useful in analyzing repeated-measures data and
have received a lot of attention in the field. In this paper, we propose a method to detect …