Pages that link to "Item:Q3512688"

The following pages link to Partially linear models with missing response variables and error-prone covariates (Q3512688):

Displaying 50 items.

• Two-step estimators in partial linear models with missing response variables and error-prone covariates (Q301006) (← links)
• Empirical likelihood semiparametric nonlinear regression analysis for longitudinal data with responses missing at random (Q379983) (← links)
• Generalized profile LSE in varying-coefficient partially linear models with measurement errors (Q385176) (← links)
• Semiparametric analysis of isotonic errors-in-variables regression models with randomly right censored response (Q394486) (← links)
• Equivalence of two tests in varying coefficient partially linear errors in variable model with missing responses (Q395940) (← links)
• Testing for the parametric component of partially linear EV models under random censorship (Q397199) (← links)
• Estimation for partially linear models with missing responses: the fixed design case (Q403527) (← links)
• Statistical inference for restricted partially linear varying coefficient errors-in-variables models (Q433783) (← links)
• Empirical likelihood for density-weighted average derivatives (Q451508) (← links)
• Focused vector information criterion model selection and model averaging regression with missing response (Q464389) (← links)
• Local polynomial-Brunk estimation in semi-parametric monotone errors-in-variables model with right-censored data (Q498089) (← links)
• Kernel regression estimation for incomplete data with applications (Q513697) (← links)
• Empirical likelihood for semiparametric regression model with missing response data (Q632744) (← links)
• Difference based estimation for partially linear regression models with measurement errors (Q634544) (← links)
• Semiparametric estimation for weighted average derivatives with responses missing at random (Q643413) (← links)
• Empirical likelihood confidence region for parameters in linear errors-in-variables models with missing data (Q646739) (← links)
• Spline-backfitted kernel smoothing of partially linear additive model (Q710767) (← links)
• Nonparametric regression with responses missing at random (Q719465) (← links)
• Statistical inference for heteroscedastic semi-varying coefficient EV models under restricted condition (Q725672) (← links)
• Quantile regression and its empirical likelihood with missing response at random (Q725686) (← links)
• Empirical likelihood for partially linear varying-coefficient models with missing response variables and error-prone covariates (Q744744) (← links)
• Consistent test of error-in-variables partially linear model with auxiliary variables (Q746872) (← links)
• A difference-based approach in the partially linear model with dependent errors (Q824814) (← links)
• Estimating linear functionals in nonlinear regression with responses missing at random (Q834338) (← links)
• Empirical likelihood calibration estimation for the median treatment difference in observational studies (Q901533) (← links)
• Estimation in a partially linear single-index model with missing response variables and error-prone covariates (Q903385) (← links)
• Estimation of the marginal location under a partially linear model with missing responses (Q962284) (← links)
• An empirical likelihood-based method for comparison of treatment effects-test of equality of coefficients in linear models (Q962357) (← links)
• Empirical likelihood for heteroscedastic partially linear models (Q1000569) (← links)
• Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables (Q1621250) (← links)
• Robust empirical likelihood for partially linear models via weighted composite quantile regression (Q1643001) (← links)
• Robust estimation in partially linear errors-in-variables models (Q1658500) (← links)
• Semi-functional partially linear regression model with responses missing at random (Q1731098) (← links)
• Empirical likelihood for varying coefficient EV models under longitudinal data (Q1782039) (← links)
• Estimation of the mean of the partially linear single-index errors-in-variables model with missing response variables (Q2069287) (← links)
• Jackknifing for partially linear varying-coefficient errors-in-variables model with missing response at random (Q2069563) (← links)
• Missing responses at random in functional single index model for time series data (Q2122835) (← links)
• Adaptive structure inferences on partially linear error-in-function models with error-prone covariates (Q2131894) (← links)
• Weighted bias-corrected restricted statistical inference for heteroscedastic semiparametric varying-coefficient errors-in-variables model (Q2132047) (← links)
• Multiple imputation and functional methods in the presence of measurement error and missingness in explanatory variables (Q2203420) (← links)
• Kernel machines with missing responses (Q2209830) (← links)
• Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables (Q2228217) (← links)
• Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data (Q2274969) (← links)
• Profile inference on partially linear varying-coefficient errors-in-variables models under restricted condition (Q2275653) (← links)
• Nonparametric regression estimation for functional stationary ergodic data with missing at random (Q2348105) (← links)
• Checking the adequacy of partial linear models with missing covariates at random (Q2393154) (← links)
• Estimation of the linear EV model with censored data (Q2431587) (← links)
• Generalized partially linear models with missing covariates (Q2482133) (← links)
• Mean empirical likelihood inference for response mean with data missing at random (Q2657429) (← links)
• Modeling continuous auxiliary covariate data in generalized linear mixed models using the kernel smoother (Q2786182) (← links)