Pages that link to "Item:Q1002169"
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The following pages link to Empirical likelihood for estimating equations with missing values (Q1002169):
Displaying 50 items.
- Combining inverse probability weighting and multiple imputation to improve robustness of estimation (Q144956) (← links)
- Semiparametric estimation of a zero-inflated Poisson regression model with missing covariates (Q288108) (← links)
- Empirical likelihood inference for estimating equation with missing data (Q365869) (← links)
- Partially linear varying coefficient models with missing at random responses (Q379987) (← links)
- Estimation in semiparametric models with missing data (Q379991) (← links)
- On the calibration of design weights using a displacement function (Q434247) (← links)
- An empirical likelihood inference for the coefficient difference of a two-sample linear model with missing response data (Q457056) (← links)
- Empirical likelihood based weighted GMM estimation with missing response at random (Q464586) (← links)
- Kernel regression estimation for incomplete data with applications (Q513697) (← links)
- Semi-empirical pseudo-likelihood for estimating equations in the presence of missing responses (Q538104) (← links)
- A review on empirical likelihood methods for regression (Q619114) (← links)
- Nonparametric regression with responses missing at random (Q719465) (← links)
- Pseudo empirical likelihood method in the presence of missing data (Q745397) (← links)
- Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods (Q782646) (← links)
- Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse (Q830448) (← links)
- Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates (Q830754) (← links)
- Estimating linear functionals in nonlinear regression with responses missing at random (Q834338) (← links)
- Asymptotic equivalence of empirical likelihood and Bayesian MAP (Q834346) (← links)
- Nonlinear wavelet density estimation with data missing at random when covariates are present (Q889153) (← links)
- A unified theory on empirical likelihood methods for missing data (Q897203) (← links)
- Empirical likelihood calibration estimation for the median treatment difference in observational studies (Q901533) (← links)
- Dimension reduction with missing response at random (Q1615199) (← links)
- On sufficient dimension reduction with missing responses through estimating equations (Q1663089) (← links)
- Jackknife empirical likelihood method for multiply robust estimation with missing data (Q1663131) (← links)
- Efficient estimation in a regression model with missing responses (Q1731157) (← links)
- Fractional imputation in survey sampling: a comparative review (Q1790352) (← links)
- Adjusted empirical likelihood estimation of distribution function and quantile with nonignorable missing data (Q1794307) (← links)
- Uniform improvement of empirical likelihood for missing response problem (Q1950816) (← links)
- Efficient parameter estimation in regression with missing responses (Q1950854) (← links)
- Jackknife empirical likelihood inference with regression imputation and survey data (Q2015066) (← links)
- Sufficient dimension reduction and instrument search for data with nonignorable nonresponse (Q2040043) (← links)
- Empirical likelihood of quantile difference with missing response when high-dimensional covariates are present (Q2065642) (← links)
- Generalized empirical likelihood for nonsmooth estimating equations with missing data (Q2140848) (← links)
- Two-step semiparametric empirical likelihood inference (Q2176605) (← links)
- An empirical likelihood approach under cluster sampling with missing observations (Q2304239) (← links)
- Dimension reduction for kernel-assisted M-estimators with missing response at random (Q2317886) (← links)
- Imputation in nonparametric quantile regression with complex data (Q2406788) (← links)
- Empirical likelihood-based inferences in varying coefficient models with missing data (Q2516073) (← links)
- An efficient multiple imputation approach for estimating equations with response missing at random and high-dimensional covariates (Q2661890) (← links)
- Empirical likelihood confidence regions for the evaluation of continuous-scale diagnostic tests in the presence of verification bias (Q2851576) (← links)
- Empirical Likelihood-Based Confidence Intervals for the Sensitivity of a Continuous-Scale Diagnostic Test with Missing Data (Q2921870) (← links)
- Empirical likelihood for the response mean of generalized linear models with missing at random responses (Q2965563) (← links)
- Mean response estimation with missing response in the presence of high-dimensional covariates (Q2980125) (← links)
- Testing heteroscedasticity in partially linear models with missing covariates (Q3021191) (← links)
- (Q3071715) (← links)
- Empirical likelihood-based hot deck imputation methods (Q3145389) (← links)
- Estimation in Partially Linear Single-Index Models with Missing Covariates (Q3167873) (← links)
- Testing conditional independence via integrating-up transform (Q4579981) (← links)
- Multiply Robust Estimation in Regression Analysis With Missing Data (Q4975567) (← links)
- (Q5004054) (← links)