Second-order asymptotic theory for calibration estimators in sampling and missing-data problems
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Publication:406543
DOI10.1016/j.jmva.2014.07.003zbMath1298.62023OpenAlexW1980376526MaRDI QIDQ406543
Publication date: 8 September 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2014.07.003
calibrationregression estimatormissing dataempirical likelihoodcontrol variateshigher-order theorynonparametric likelihoodPoisson samplingrejective sampling
Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05)
Related Items (2)
Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference ⋮ Surrogate space based dimension reduction for nonignorable nonresponse
Cites Work
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- Large Sample Properties of Generalized Method of Moments Estimators
- 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
- Comment: Understanding OR, PS and DR
- Model assisted survey sampling
- Defining the curvature of a statistical problem (with applications to second order efficiency)
- A third-order optimum property of the maximum likelihood estimator
- Empirical likelihood and general estimating equations
- Sampling algorithms.
- Bounded, efficient and doubly robust estimation with inverse weighting
- Post-Sampling Efficient QR-Prediction in Large-Sample Surveys
- Nonparametric likelihood and doubly robust estimating equations for marginal and nested structural models
- Efficient restricted estimators for conditional mean models with missing data
- A Distributional Approach for Causal Inference Using Propensity Scores
- The central role of the propensity score in observational studies for causal effects
- Estimation of Variance of the Regression Estimator
- Calibration Estimators in Survey Sampling
- Inference and missing data
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Weighted finite population sampling to maximize entropy
- Developments in sample survey theory: An appraisal
- Probability for Statisticians
- On a Likelihood Approach for Monte Carlo Integration
- Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
- A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
- Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data
- Simple design-efficient calibration estimators for rejective and high-entropy sampling
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
- Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population
- Some Comments on C P
- On asymptotically design-unbiased estimators of a finite population mean
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