research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
06/26/2020
Parametric Bootstrap Confidence Intervals for the Multivariate Fay-Herriot Model
The multivariate Fay-Herriot model is quite effective in combining infor...
research
∙
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 ...
research
∙
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...
research
∙
11/24/2018
