The following pages link to (Q3996878):
Displaying 50 items.
- Global identification of nonlinear Hammerstein systems by recursive kernel approach (Q999904) (← links)
- Smoothing splines estimators for functional linear regression (Q1002148) (← links)
- Sensitivity analysis of constrained linear \(L_1\) regression: Perturbations to constraints, addition and deletion of observations (Q1010461) (← links)
- Cardinal splines in nonparametric regression (Q1019518) (← links)
- Modeling dichotomous item responses with free-knot splines (Q1020072) (← links)
- Knot selection by boosting techniques (Q1020124) (← links)
- Smoothing splines estimators in functional linear regression with errors-in-variables (Q1020144) (← links)
- Computation of estimates in segmented regression and a liquidity effect model (Q1020755) (← links)
- Estimation of trend in state-space models: asymptotic mean square error and rate of convergence (Q1043710) (← links)
- On nonparametric regression with higher-order kernels (Q1123510) (← links)
- Nonparametric regression using Bayesian variable selection (Q1126478) (← links)
- Asymptotic normality and consistency of semi-nonparametric regression estimators using an upwards \(F\) test truncation rule (Q1174639) (← links)
- Bias correction and higher order kernel functions (Q1185550) (← links)
- Quadratic deviation of penalized mean squares regression estimates (Q1186775) (← links)
- Smoothing techniques. With implementation in S (Q1188769) (← links)
- Score tests in a generalized linear model with surrogate covariates (Q1199859) (← links)
- A note on the consistent estimator of nonparametric regression constructed by splines (Q1203984) (← links)
- Kernel smoothing approaches to nonparametric item characteristic curve estimation (Q1205753) (← links)
- How sensitive are average derivatives? (Q1260681) (← links)
- Semiparametric quasilikelihood and variance function estimation in measurement error models (Q1260691) (← links)
- Error process indexed by bandwidth matrices in multivariate local linear smoothing (Q1268017) (← links)
- Estimation in partially linear models. (Q1274571) (← links)
- Wavelet regression for random or irregular design. (Q1274828) (← links)
- Asymptotic normality of nonparametric estimators under \(\alpha\)-mixing condition (Q1292778) (← links)
- Nonparametric kernel regression estimation near endpoints. (Q1298705) (← links)
- Semiparametric regression model selections. (Q1298946) (← links)
- Semiparametric regression under long-range dependent errors. (Q1304373) (← links)
- The asymptotic mean squared error of \(L\)-smoothing splines (Q1314702) (← links)
- Nonparametric estimation of a regression function with dependent observations (Q1318337) (← links)
- Testing goodness of fit of polynomial models via spline smoothing techniques (Q1324591) (← links)
- Asymptotic distribution of bandwidth selectors in kernel regression estimation (Q1324972) (← links)
- Testing for no effect in nonparametric regression via spline smoothing techniques (Q1336522) (← links)
- Identificaction of nonlinear block-oriented systems by the recursive kernel estimate (Q1338578) (← links)
- Testing of linearity in a semiparametric regression model (Q1341190) (← links)
- On a likelihood-based approach in nonparametric smoothing and cross- validation (Q1344821) (← links)
- Bandwidth selection in nonparametric regression with general errors (Q1346654) (← links)
- On the asymptotic performance of median smoothers in image analysis and nonparametric regression (Q1354398) (← links)
- Cook's distance in spline smoothing (Q1359714) (← links)
- Kernel regression estimators for signal recovery (Q1359721) (← links)
- Nonparametric curve estimation with Bernstein estimates (Q1359946) (← links)
- Persistence of excitation conditions in passive learning control (Q1361337) (← links)
- Dependent error regression smoothing: A new method and PC program (Q1361522) (← links)
- Nonparametric smoothing and lack-of-fit tests (Q1367963) (← links)
- Nonparametric regression with long-memory errors (Q1380570) (← links)
- Multivariate regression splines (Q1389610) (← links)
- Methodology for nonparametric regression from independent sources (Q1390964) (← links)
- Wavelet regression estimation in nonparametric mixed effect models (Q1400008) (← links)
- An interpolation method for adapting to sparse design in multivariate nonparametric regression (Q1400122) (← links)
- Local M-estimator for nonparametric time series. (Q1423066) (← links)
- Are regression series estimators efficient in practice? A computational comparison study (Q1424608) (← links)
