Global ETD Search
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Showing 1 to 7 of 7 for “"Small area estimation (SAE)"”.
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Assessing the Potential of a Locally Adapted Conservation Agriculture Production System to Reduce Rural Poverty in Uganda's Tororo District
This paper demonstrates the utility of small area estimation (SAE) of poverty methods for researchers that wish to conduct a detailed welfare analysis as part of a larger survey of a small geographic area of interest. Researchers studying context-specific technologies or interventions can …
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HIERARCHICAL BAYES ESTIMATION AND EMPIRICAL BEST PREDICTION OF SMALL-AREA PROPORTIONS
… of units with a given characteristic for small areas using small area estimation (SAE) techniques is a common problem in survey research. The direct survey estimates, usually based on area-specific sample data, are very imprecise or even unavailable due to the small or zero sample sizes in …
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Improving Precision in Forest Inventory through Small Area Estimation for Loblolly Pine Plantations in Coastal Georgia
The use of small area estimation (SAE) in forest inventory has shown promise for improving the precision of estimates needed for informed decision-making when sample data are sparse. We evaluated the potential of unit-level SAE for increasing the precision of stand-level estimates of basal area, …
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Decision Support for Operational Plantation Forest Inventories through Auxiliary Information and Simulation
… the lifespan of forest plantations. Using small area estimation (SAE) methods, the incorporation of light detection and ranging (lidar) and thinning status improved the precision of inventory estimates compared with ground data alone. Further investigation found that reduced density lidar …
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Fiducial Inference for Mixed-Effects Models: A Frequentist Advancement for Small-Sample Problems
… alternative for statistical inference in small-sample settings. Traditional methods such as maximum likelihood estimation (MLE), Wald-type intervals, and bootstrap techniques often fail to provide accurate interval estimates when sample sizes are limited—a common scenario in epidemiologic …
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A bayesian hierarchical modelling of small area variation in youth unemployment in Namibia
… (NLFS) does not provide such statistics at small area e.g., at constituency level. The census data could be used to provide estimates of youth unemployment at constituency level; however, the data is only obtained every 10 years which in most cases the time frame is too long given the …