WebbSmall Area Estimation is a method used to reduce the variance value in a small area, namely by using the indirect estimation method by utilizing information from the … Webb4 mars 2014 · Small-area statistical models, both unit-level and area-level, have been developed for the Behavioral Risk Factor Surveillance System (BRFSS), which was originally designed for reliable state-level survey estimates, for a variety of health outcome estimates at the county level ( 3–13) and zip-code level ( 14–17 ).
Introduction to Small Area Estimation Techniques: A Practical …
Webb1 okt. 2024 · The corresponding estimator is referred to as the spatially non-linear empirical predictor (SNLEP) for small areas. This estimator can accommodate situations where the functional form of the spatial relationship between the variable of interest and the covariates is unknown. A bootstrap based procedure for testing. WebbUses a basic area-level linear model to illustrate the methods; Presents the various extensions including binary response data through generalized linear models and time … shanghai moneygram locations
Small Area Estimation under a multivariate linear model for …
WebbSmall Area Estimation Guide - Asian Development Bank WebbSmall area estimation (SAE) describes the endeavor of producing estimates of quantities of interest, such as means and totals, for domains (usually areas) which have sparse or non-existent response data. SAE is carried out in many fields including health, demography, agriculture, business, education, and environmental planning. Webb22 feb. 2024 · The Bayes estimator of a small area mean is shown to have strictly smaller mean squared error (MSE) than that of the corresponding best linear unbiased pre- dictor (BLUP) for the Kleffe-Rao model, an… 54 Highly Influential PDF View 10 excerpts, references methods and background shanghai moon 1987 medford