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Small Area Estimation 2e
Engleski
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Written by an accomplished team of experts in the field, "Small Area Estimation, Second Edition" provides a comprehensive and up-to-date account of the methods and theory of small area estimation, particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages, including increased precision, the derivation of "optimal" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasis is on real data throughout the book. More than two dozen new topics have been added to this edition (such as extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models) along with selected R subroutines.
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