On the Prediction of the Subpopulation Total Based on Spatially Correlated Longitudinal Data

DOI10.1080/08898480.2013.836387zbMath1409.62042OpenAlexW2031965085MaRDI QIDQ4628542

Tomasz Żądło

Publication date: 14 March 2019

Published in: Mathematical Population Studies (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/08898480.2013.836387

zbMATH Keywords

longitudinal datasmall area estimationMSE estimationEBLUPgeneral linear mixed modelspatial and temporal correlation

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05)

Related Items (1)

Drawn-by-drawn sampling based on neighborhood matrix

Uses Software

• saery

Cites Work

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• Bootstrap for estimating the MSE of the spatial EBLUP
• On MSE of EBLUP
• Small area estimation: the EBLUP estimator based on spatially correlated random area effects
• Unbiasedness of two-stage estimation and prediction procedures for mixed linear models
• The Linear Least-Squares Prediction Approach to Two-Stage Sampling
• Estimators for the Horvitz-Thompson Statistic Based on Some Posterior Distributions
• Small‐area estimation by combining time‐series and cross‐sectional data
• Longitudinal Data Analysis
• Linear mixed models for longitudinal data

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