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05/21/2023
Estimation of finite population proportions for small areas: a statistical data integration approach
Empirical best prediction (EBP) is a well-known method for producing rel...
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10/10/2022
Hierarchical Bayes estimation of small area proportions using statistical linkage of disparate data sources
We propose a Bayesian approach to estimate finite population proportions...
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01/25/2022
A Nested Error Regression Model with High Dimensional Parameter for Small Area Estimation
In this paper we propose a flexible nested error regression small area m...
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05/11/2021
Estimation of mask effectiveness perception for small domains using multiple data sources
All pandemics are local; so learning about the impacts of pandemics on p...
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06/26/2020
Parametric Bootstrap Confidence Intervals for the Multivariate Fay-Herriot Model
The multivariate Fay-Herriot model is quite effective in combining infor...
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01/24/2019
Multi-Goal Prior Selection: A Way to Reconcile Bayesian and Classical Approaches for Random Effects Models
The two-level normal hierarchical model has played an important role in ...
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11/29/2018
An Evaluation of Design-based Properties of Different Composite Estimators
For the last decades, the US Census Bureau has been using the AK composi...
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11/24/2018