Evaluation of matching noise for imputation techniques based on nonparametric local linear regression estimators

DOI10.1016/J.CSDA.2008.07.041zbMath1231.62062OpenAlexW2030471388MaRDI QIDQ961118

Daniela Marella, Mauro Scanu, Pier Luigi Conti

Publication date: 30 March 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2008.07.041

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) General nonlinear regression (62J02)

Related Items (6)

Uncertainty analysis for statistical matching of ordered categorical variables ⋮ Statistical matching of sample survey data: application to integrate Iranian time use and labour force surveys ⋮ Statistical file-matching of non-Gaussian data: a game theoretic approach ⋮ Assessment of the effect of constraints in a new multivariate mixed method for statistical matching ⋮ How much reliable are the integrated ‘live’ data? A validation strategy proposal for the non-parametric micro statistical matching ⋮ Accurate tree-based missing data imputation and data fusion within the statistical learning paradigm

Uses Software

• R
• StatMatch

Cites Work

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• Statistical matching. A frequentist theory, practical applications, and alternative Bayesian approaches
• On the matching noise of some nonparametric imputation procedures
• GRAFT, a complete system for data fusion
• Exact mean integrated squared error
• Nonparametric regression estimation with missing data
• An Effective Bandwidth Selector for Local Least Squares Regression
• Characterizing the Estimation of Parameters in Incomplete-Data Problems
• Statistical Matching
• Some Comments on C P
• Nonparametric conditional mean imputation

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