scientific article; zbMATH DE number 5263165
From MaRDI portal
Publication:5457406
zbMath1133.62003MaRDI QIDQ5457406
Publication date: 14 April 2008
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ratio estimatorregression estimatorstratified samplingweak law of large numberssimple random samplingnon-responsePPS sampling
Asymptotic properties of parametric estimators (62F12) Central limit and other weak theorems (60F05) Sampling theory, sample surveys (62D05)
Related Items (21)
A measurement error Rao-Yu model for regional prevalence estimation over time using uncertain data obtained from dependent survey estimates ⋮ Empirical likelihood for response differences in two linear regression models with missing data ⋮ On the use of aggregate survey data for estimating regional major depressive disorder prevalence ⋮ The joy of proofs in statistical research ⋮ Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches ⋮ Coupling methods for multistage sampling ⋮ Confidence bands for Horvitz-Thompson estimators using sampled noisy functional data ⋮ Semi-empirical likelihood inference for the ROC curve with missing data ⋮ Unnamed Item ⋮ Confidence intervals for marginal parameters under fractional linear regression imputation for missing data ⋮ Methods for stratified cluster sampling with informative stratification ⋮ Nonparametric inference for distribution functions with stratified samples ⋮ Analysis of inaccurate data with mixture measurement error models ⋮ Cross-entropy minimization estimation for two-phase sampling and non-response ⋮ A weighted composite likelihood approach to inference from clustered survey data under a two-level model ⋮ A Cautionary Tale on Instrumental Calibration for the Treatment of Nonignorable Unit Nonresponse in Surveys ⋮ Confidence intervals for marginal parameters under imputation for item nonresponse ⋮ Semi-empirical likelihood confidence intervals for the differences of quantiles with missing data ⋮ Properties of design-based functional principal components analysis ⋮ Empirical likelihood confidence intervals for the differences of quantiles with missing data ⋮ Doubly robust point and variance estimation in the presence of imputed survey data
This page was built for publication:
