Parametric bootstrap mean squared error of a small area multivariate EBLUP
From MaRDI portal
Publication:5086301
DOI10.1080/03610918.2018.1498889OpenAlexW2887803518MaRDI QIDQ5086301
Natalie Shlomo, Joseph W. Sakshaug, Angelo Moretti
Publication date: 5 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://e-space.mmu.ac.uk/625178/3/Bootstrap_Accepted_Version.pdf
resamplingmodel-based inferencemultivariate multilevel modelsmultivariate empirical best linear unbiased predictormultivariate small area estimation
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric estimation of mean-squared prediction error in nested-error regression models
- Uncertainty under a multivariate nested-error regression model with logarithmic transforma\-tion
- Analytic and bootstrap approximations of prediction errors under a multivariate Fay-Herriot model
- Uniform asymptotic normality of the maximum likelihood estimator
- Empirical best linear unbiased and empirical Bayes prediction in multivariate small area estimation.
- Mean squared error of empirical predictor.
- Non-parametric bootstrap mean squared error estimation for \(M\)-quantile estimators of small area averages, quantiles and poverty indicators
- Small Area Estimation
- Approximations for Standard Errors of Estimators of Fixed and Random Effect in Mixed Linear Models
- Maximum likelihood estimation of models for residual covariance in spatial regression
- Bootstrap mean squared error of a small-area EBLUP
- Unbiasedness of two-stage estimation and prediction procedures for mixed linear models
- Mean-squared errors of small-area estimators under a unit-level multivariate model
- Resistance to Outliers of M-Quantile and Robust Random Effects Small Area Models
- The Estimation of the Mean Squared Error of Small-Area Estimators
- The bootstrap and Edgeworth expansion
This page was built for publication: Parametric bootstrap mean squared error of a small area multivariate EBLUP
