On Prediction for Correlated Domains in Longitudinal Surveys

DOI10.1080/03610926.2013.857867zbMath1317.62009OpenAlexW2111351930MaRDI QIDQ5259082

Tomasz Żądło

Publication date: 24 June 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.857867

zbMATH Keywords

small area estimationsurvey samplingBLUP and EBLUPmodeling profiles

Mathematics Subject Classification ID

Point estimation (62F10) Sampling theory, sample surveys (62D05)

Related Items

On properties of empirical best predictors

Uses Software

• R

Cites Work

• Spline smoothing in small area trend estimation and forecasting
• Bootstrap for estimating the MSE of the spatial EBLUP
• Mean value estimation using two-phase samples with missing data in both phases
• On MSE of EBLUP
• Small area estimation: the EBLUP estimator based on spatially correlated random area effects
• On measures of uncertainty of empirical Bayes small-area estimators
• A unified jackknife theory for empirical best prediction with \(M\)-estimation
• Mean squared error of empirical predictor.
• Small area estimation of poverty proportions under area-level time models
• Small area estimation with spatio-temporal Fay-Herriot models
• ON PREDICTION OF TOTAL VALUE IN INCOMPLETELY SPECIFIED DOMAINS
• Unbiasedness of two-stage estimation and prediction procedures for mixed linear models
• Small‐area estimation by combining time‐series and cross‐sectional data
• Mixed Models
• Longitudinal Data Analysis
• Linear mixed models for longitudinal data