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Small-Area Estimation

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Large Sample Techniques for Statistics

Part of the book series: Springer Texts in Statistics ((STS,volume 0))

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Abstract

The term “small area” typically refers to a population for which reliable statistics of interest cannot be produced due to certain limitations of the available data. Examples of domains include a geographical region (e.g., a state, county or municipality), a demographic group (e.g., a specific age × sex × race group), a demographic group within a geographic region, and so forth. Some of the groundwork in small-area estimation related to the population counts and disease mapping research has been done by the epidemiologists and the demographers. The history of small-area statistics goes back to 11th- century England and 17th- century Canada. See Brackstone (1987) and Marshall (1991).

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Correspondence to Jiming Jiang .

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Jiang, J. (2010). Small-Area Estimation. In: Large Sample Techniques for Statistics. Springer Texts in Statistics, vol 0. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6827-2_13

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