The signed-rank estimator for nonlinear regression with responses missing at random
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Publication:491405
DOI10.1214/15-EJS1042zbMath1327.62391OpenAlexW1534440480MaRDI QIDQ491405
Publication date: 25 August 2015
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1435584427
Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) General nonlinear regression (62J02)
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Robust confidence regions for the semi-parametric regression model with responses missing at random ⋮ Generalized signed-rank estimation for regression models with non-ignorable missing responses ⋮ Robust estimation of single index models with responses missing at random ⋮ General local rank estimation for single-index varying coefficient models ⋮ Regression analysis of stochastic fatigue crack growth model in a martingale difference framework
Cites Work
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- Empirical likelihood methods with weakly dependent processes
- Asymptotics of the signed-rank estimator under dependent observations
- Empirical likelihood ratio confidence regions
- Estimating linear functionals in nonlinear regression with responses missing at random
- Inconsistency of bootstrap: the Grenander estimator
- Estimation in partially linear models with missing responses at random
- Model checking for partially linear models with missing responses at random
- On asymptotic normality in nonlinear regression
- Empirical likelihood for linear regression models with missing responses
- A strong law for linear functions of order statistics
- Asymptotic theory of nonlinear least squares estimation
- The consistency of nonlinear regression minimizing the \(L_ 1-\)norm
- Smoothed empirical likelihood confidence intervals for quantiles
- Rank statistics under dependent observations and applications to factorial designs
- Jackknife variance estimation for multivariate statistics under hot-deck imputation from common donors
- Empirical likelihood-based inference under imputation for missing response data
- Empirical-likelihood-based confidence interval for the mean with a heavy-tailed distribution.
- Empirical likelihood for single-index models
- Uniform in bandwidth consistency of kernel-type function estimators
- On semiparametric \(M\)-estimation in single-index regression
- Empirical Likelihood Confidence Intervals for Response Mean with Data Missing at Random
- Methodology and Algorithms of Empirical Likelihood
- Bounded influence nonlinear signed-rank regression
- Empirical Likelihood Semiparametric Regression Analysis for Longitudinal Data
- Jackknife variance estimation with survey data under hot deck imputation
- Inference and missing data
- Imputation: Methods, Simulation Experiments and Practical Examples
- Nonparametric Estimation of Mean Functionals with Data Missing at Random
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Regression Analysis with Missing Covariate Data Using Estimating Equations
- Bootstrap for Imputed Survey Data
- Weighted Semiparametric Estimation in Regression Analysis With Missing Covariate Data
- Variance Estimation for Survey Data with Composite Imputation and Nonnegligible Sampling Fractions
- Jackknife Variance Estimation under Imputation for Estimators Using Poststratification Information
- Jackknife Variance Estimation for Nearest-Neighbor Imputation
- Variance estimation under two-phase sampling with application to imputation for missing data
- Asymptotics of Quantiles and Rank Scores in Nonlinear Time Series
- Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data
- Nonparametric Estimate of Regression Coefficients
- Semiparametric Regression Analysis With Missing Response at Random