2 citations · 2 across the 4 of their papers we have counts for
4 papers
Estimation of the Error Density in a Semiparametric Transformation Model
Rawane Samb, Cédric Heuchenne, Ingrid Van Keilegom
Consider the semiparametric transformation model , where is an unknown finite dimensional parameter, the functions and are smooth, is ind…
Nonparametric kernel estimation of the error density
Rawane Samb
Consider the nonparametric regression model Y=m(X)+E, where the function m is smooth but unknown, and E is independent of X. An estimator of the density of the error term E is prop…
Contribution to the Nonparametric Estimation of the Density of the Regression Errors (Doctoral Thesis)
Rawane Samb
This thesis deals with the nonparametric estimation of density f of the regression error term E of the model Y=m(X)+E, assuming its independence with the covariate X. The difficult…
Nonparametric kernel estimation of the probability density function of regression errors using estimated residuals
Rawane Samb
This paper deals with the nonparametric density estimation of the regression error term assuming its independence with the covariate. The difference between the feasible estimator…