Estimator vs estimate
Explains the statistical nuance of sandwich variance estimators, focusing on the difference between an estimator and its realized value in a sample.
Explains the statistical nuance of sandwich variance estimators, focusing on the difference between an estimator and its realized value in a sample.
Explores methods for choosing optimal weighting parameters (θ) in dual-frame survey sampling to minimize variance in population estimates.
A technical note on calculating denominator degrees of freedom in survey-weighted generalized linear models (svyglm) for complex sample designs.
Explores challenges in applying weighted penalized least squares to linear mixed models for survey data, highlighting estimation issues.
A technical article discussing debugging tricks for complex statistical models with symmetries, focusing on verification and small-sample testing.