Small area estimation under spatial nonstationarity
نویسندگان
چکیده
منابع مشابه
Small area estimation under spatial nonstationarity
In this paper a geographical weighted pseudo empirical best linear unbiased predictor (GWEBLUP) for small area averages is proposed, and two approaches for estimating its mean squared error (MSE), a conditional approach and an unconditional one, are developed. The popular empirical best linear unbiased predictor (EBLUP) under the linear mixed model and its associated MSE estimator are obtained ...
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Local statistical offices often dispose of very rich databases of spatially referenced socio– economic data. The high degree of spatial detail of such information is often not too useful for practical purposes in that firms or local authorities are interested in information aggregated at higher levels. The standard practice usually consists in aggregating the data at some prespecified geographi...
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We derive a class of composite estimators of small-area quantities that exploit spatial (distance-related) similarity. They are based on a distribution-free model for the areas, but the estimators are aimed to have optimal design-based properties. Composition is applied also to estimating some of the global parameters on which the small-area estimators depend. We show that the commonly adopted ...
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There are many situations in which it is desirable to derive reliable estimators for small geographical areas or small subpopulations, from existing survey data. The basic random e ects model and corresponding small area predictors for small area estimation is introduced. There are also many situations in which it is necessary to have the total of the small area predictors equal to the total of...
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Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2012
ISSN: 0167-9473
DOI: 10.1016/j.csda.2012.02.006