A comparison study of nonparametric imputation methods
From MaRDI portal
Publication:746205
DOI10.1007/s11222-010-9223-yzbMath1322.62124OpenAlexW2091728117MaRDI QIDQ746205
Philip E. Cheng, Jian-Hui Ning
Publication date: 16 October 2015
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-010-9223-y
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Point estimation (62F10) Sampling theory, sample surveys (62D05)
Related Items
Nonparametric imputation method for nonresponse in surveys ⋮ A simulation comparison of imputation methods for quantitative data in the presence of multiple data patterns
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Comment: Performance of double-robust estimators when ``inverse probability weights are highly variable
- Strong consistency of nearest neighbor regression function estimators
- Empirical likelihood-based inference under imputation for missing response data
- Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
- Efficient and Doubly Robust Imputation for Covariate-Dependent Missing Responses
- The central role of the propensity score in observational studies for causal effects
- Inference and missing data
- Nonparametric Estimation of Mean Functionals with Data Missing at Random
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Jackknife Variance Estimation for Nearest-Neighbor Imputation
- A Nonparametric Estimate of a Multivariate Density Function
- A generalized multivariate analysis of variance model useful especially for growth curve problems
- Nearest neighbor pattern classification
- Contribution to the Theory of Sampling Human Populations
- A Generalization of Sampling Without Replacement From a Finite Universe