Predicting random effects with an expanded finite population mixed model

DOI10.1016/j.jspi.2007.11.012zbMath1140.62010OpenAlexW2087755341WikidataQ37004390 ScholiaQ37004390MaRDI QIDQ935429

Julio da Motta Singer, Edward J. III. Stanek

Publication date: 6 August 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2597867

zbMATH Keywords

random permutationoptimal estimationsuperpopulationbest linear unbiased predictordesign-based inference

Mathematics Subject Classification ID

Multivariate analysis (62H99) Sampling theory, sample surveys (62D05)

Related Items (2)

Prediction with measurement errors in finite populations ⋮ Estimating the population mean when some responses are missing

Uses Software

• SASmixed

Cites Work

• Random-Effects Models for Longitudinal Data
• Linear and generalized linear mixed models and their applications.
• Performance of balanced two-stage empirical predictors of realized cluster latent values from finite populations: a simulation study
• Prediction theory for finite populations
• Optimal estimation of a finite population mean under generalized random permutation models
• A unified approach to estimation and prediction under simple random sampling.
• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• The Linear Least-Squares Prediction Approach to Two-Stage Sampling
• Alternative Formulations and Procedures for the Two-Way Mixed Model
• Predicting Random Effects From Finite Population Clustered Samples With Response Error
• Mixed Models
• Best Linear Unbiased Prediction in the Generalized Linear Regression Model
• Linear mixed models for longitudinal data
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Predicting random effects with an expanded finite population mixed model