Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"small area estimation"”.
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Bayesian spatial models for adjusting nonresponse in small area estimation
… sometimes a sample is drawn from a large area although the estimate of interest is at a smaller sub-domain level. The sample sizes may be sufficient for inference at the large area, but too small to obtain accurate estimates at sub-areas. Analysis with multiple mailings and the small area …
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Fay-Herriot Small Area Estimation in the Survey of Business Owners
This paper will study the use of the Fay-Herriot small area estimation model on the Survey of Business Owners and Self-Employed Persons (SBO) 2002 data. Small area estimation continues to be an important topic as the demand for reliable small area statistics continues to grow. Because direct …
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Topics in small area estimation with applications to the National Resources Inventory
<p>A practical application of small area estimation in the National Resources Inventory, a large survey of the non-federal land area in the United States, is described. Several estimation issues raised by this application are discussed as motivation for theoretical investigation of some aspects of …
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An investigation of social capital in Britain using small area estimation analysis
… of social capital and estimates them at small area level for England and Wales in 2011. The first step is the identification of three factors measuring membership, citizenship and politics and neighbourliness dimensions using survey data and a Confirmatory Factor Analysis. The second step …
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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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Poverty mapping : what can we really learn?
… poverty mapping. I explain the difficulties of small area estimation arising from data sparseness and argue that any attempt to overcome this fundamental problem has to take the form of a conditional homogeneity assumption.
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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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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 …
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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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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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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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Statistical methods in a high school transcript survey
… designed to produce specific accuracy of direct estimation at high levels of aggregation. Sample sizes for small geographical areas or subpopulations are typically small such that direct estimates in these areas are very unreliable.</p> <p>Particularly in designs where a single primary sampling …
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Toward a Good Life in Later Life: Perspectives, Problems, and Responses
… Similarly, using multilevel modeling for small area estimation and data from the 1999 National Long-Term Care Survey and the Behavioral Risk Factor Surveillance System Survey, this dissertation's quantitative state-level analysis shows that fewer than 150 older adults in 1,000 would be …