A new classified mixed model predictor

DOI10.1016/J.JSPI.2019.11.001zbMath1437.62293OpenAlexW2984572910WikidataQ126785400 ScholiaQ126785400MaRDI QIDQ2301100

Jiming Jiang, Hanmei Sun, Yihui Luan

Publication date: 28 February 2020

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

Full work available at URL: https://doi.org/10.1016/j.jspi.2019.11.001

zbMATH Keywords

matching procedureMonte-Carloclassified mixed model predictionMSPE estimator

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Generalized linear models (logistic models) (62J12)

Related Items (3)

Empirical likelihood for varying coefficient partially nonlinear model with missing responses ⋮ Classified generalized linear mixed model prediction incorporating pseudo‐prior information ⋮ Assessing uncertainty for classified mixed model prediction

Cites Work

• Unnamed Item
• Unnamed Item
• Nonparametric estimation of mean-squared prediction error in nested-error regression models
• Empirical Bayes estimation of median income of four-person families by state using time series and cross-sectional data
• Classified mixed logistic model prediction
• A unified Monte-Carlo jackknife for small area estimation after model selection
• A unified jackknife theory for empirical best prediction with \(M\)-estimation
• Mean squared error of empirical predictor.
• Mixed model prediction and small area estimation. (With comments of P. Hall, D. Morales, C. N. Morris, J. N. K. Rao, and J. L. Eltinge)
• Small Area Estimation
• On Parametric Bootstrap Methods for Small Area Prediction
• Large Sample Techniques for Statistics
• Classified Mixed Model Prediction
• On measuring the variability of small area estimators under a basic area level model
• The Estimation of the Mean Squared Error of Small-Area Estimators
• Empirical best prediction for small area inference with binary data

This page was built for publication: A new classified mixed model predictor