Small area estimation using a nonparametric model-based direct estimator

DOI10.1016/J.CSDA.2010.03.023zbMath1284.62408OpenAlexW2050062847MaRDI QIDQ2445670

Maria Giovanna Ranalli, Hukum Chandra, Ray Chambers, Nicola Salvati

Publication date: 14 April 2014

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1038&context=cssmwp

zbMATH Keywords

penalized splinesnonlinear regression modelempirical best linear unbiased predictionunit level modelmean squared error estimator

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Numerical computation using splines (65D07) General nonlinear regression (62J02)

Related Items (10)

Multinomial-based small area estimation of labour force indicators ⋮ Special issue on small area estimation ⋮ Small area estimation under spatial nonstationarity ⋮ Estimation and Testing in M‐quantile Regression with Applications to Small Area Estimation ⋮ Small area estimation via M-quantile geographically weighted regression ⋮ Estimates for geographical domains through geoadditive models in presence of incomplete geographical information ⋮ MODEL-BASED DIRECT ESTIMATION OF SMALL-AREA DISTRIBUTIONS ⋮ Functional Mixed Effects Model for Small Area Estimation ⋮ Nonparametric Model-Based Estimators for the Cumulative Distribution Function of a Right Censored Variable in a Small Area ⋮ Comments on: Model-free model-fitting and predictive distributions

Uses Software

• SemiPar

Cites Work

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• Spline smoothing in small area trend estimation and forecasting
• Smoothing and mixed models
• 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)
• Non-Parametric Small Area Estimation Using Penalized Spline Regression
• The Linear Least-Squares Prediction Approach to Two-Stage Sampling
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Semiparametric Regression
• Semiparametric Inference in Generalized Mixed Effects Models
• The Estimation of the Mean Squared Error of Small-Area Estimators

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