Pages that link to "Item:Q5443770"

The following pages link to Estimating the error distribution function in semiparametric regression (Q5443770):

Displaying 36 items.

• Efficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing data (Q310620) (← links)
• Estimating the error distribution function in semiparametric additive regression models (Q645626) (← links)
• Goodness-of-fit tests in semi-linear models (Q693329) (← links)
• Strongly consistent density estimation of the regression residual (Q712519) (← links)
• Some developments in semiparametric statistics (Q715787) (← links)
• Empirical likelihood estimators for the error distribution in nonparametric regression models (Q734542) (← links)
• Smooth simultaneous confidence band for the error distribution function in nonparametric regression (Q829738) (← links)
• Estimating the error distribution in semiparametric transformation models (Q888235) (← links)
• Estimating the error distribution in nonparametric multiple regression with applications to model testing (Q962205) (← links)
• Estimating the error distribution function in nonparametric regression with multivariate co\-var\-iates (Q1012228) (← links)
• Estimating the innovation distribution in nonparametric autoregression (Q1017896) (← links)
• Testing independence in nonparametric regression (Q1021854) (← links)
• Goodness-of-fit problem for errors in nonparametric regression: distribution free approach (Q1043735) (← links)
• Efficiency for heteroscedastic regression with responses missing at random (Q1642744) (← links)
• Efficient estimation of the error distribution in a varying coefficient regression model (Q1695546) (← links)
• Maximum empirical likelihood estimation and related topics (Q1786582) (← links)
• A conversation with Estate V. Khmaladze (Q1790355) (← links)
• A note on residual-based empirical likelihood kernel density estimation (Q1952105) (← links)
• Nonparametric conditional variance and error density estimation in regression models with dependent errors and predictors (Q1952211) (← links)
• Estimating the conditional single-index error distribution with a partial linear mean regression (Q2348715) (← links)
• Testing for additivity in partially linear regression with possibly missing responses (Q2451618) (← links)
• Frontier estimation in nonparametric location-scale models (Q2512614) (← links)
• Efficiently estimating the error distribution in nonparametric regression with responses missing at random (Q2863042) (← links)
• Estimating the conditional error distribution in non-parametric regression (Q2911717) (← links)
• Residual Empirical Processes and Weighted Sums for Time-Varying Processes with Applications to Testing for Homoscedasticity (Q2954305) (← links)
• (Q3350540) (← links)
• A bootstrap version of the residual-based smooth empirical distribution function (Q3506265) (← links)
• Smooth Residual Bootstrap for Empirical Processes of Non‐parametric Regression Residuals (Q3552975) (← links)
• Specification tests for the distribution of errors in nonparametric regression: a martingale approach (Q3627956) (← links)
• Estimating the Error Distribution in a Single-Index Model (Q4609019) (← links)
• Estimation of the error distribution in a varying coefficient regression model (Q4643627) (← links)
• Estimating functionals of the error distribution in parametric and nonparametric regression (Q4831091) (← links)
• Rate of convergence of the density estimation of regression residual (Q4918191) (← links)
• Residuals based Kolmogorov-Smirnov and Cramér-von Mises tests for varying coefficient models (Q5086320) (← links)
• Regularization parameter selection in indirect regression by residual based bootstrap (Q5134476) (← links)
• Functional Response Quantile Regression Model (Q6069492) (← links)