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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 well as the techniques for model validation. Uses a basic area-level linear model to illustrate the methods Presents the various extensions including binary response data through generalized linear models and time series data through linear models that combine cross-sectional and time series features Provides recent applications of SAE including several in U.S. Federal programs Offers a comprehensive discussion of the design issues that impact SAE
An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variabi
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estim
This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with the
A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditio
A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a
