57 citations · 67 across the 4 of their papers we have counts for
5 papers
A goodness-of-fit test for regression models with spatially correlated errors
Andrea Meilán-Vila, Jean D. Opsomer, Mario Francisco-Fernández +1
The problem of assessing a parametric regression model in the presence of spatial correlation is addressed in this work. For that purpose, a goodness-of-fit test based on a -d…
Estimation and inference of domain means subject to shape constraints
Cristian Oliva-Aviles, Mary C. Meyer, Jean D. Opsomer
Population domain means are frequently expected to respect shape or order constraints that arise naturally with survey data. For example, given a job category, mean salaries in big…
Checking validity of monotone domain mean estimators
Cristian Oliva-Aviles, Mary C. Meyer, Jean D. Opsomer
Estimates of population characteristics such as domain means are often expected to follow monotonicity assumptions. Recently, a method to adaptively pool neighboring domains was pr…
Endogenous post-stratification in surveys: classifying with a sample-fitted model
F. Jay Breidt, Jean D. Opsomer
Post-stratification is frequently used to improve the precision of survey estimators when categorical auxiliary information is available from sources outside the survey. In natural…
Comment: Struggles with Survey Weighting and Regression Modeling
F. Jay Breidt, Jean D. Opsomer
Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]