The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

The statistical and mathematical principles of smoothing with a focus on applicable
techniques are presented in this book. It naturally splits into two parts: The first part is …

In the last ten years, there has been increasing interest and activity in the general area of
partially linear regression smoothing in statistics. Many methods and techniques have been …

This paper analyzes whether and to what extent the inflow of FDI is affected before and after
the occurence of a financial crisis in develo** countries. The paper uses a semiparametric …

A new estimation concept for partially linear models based on smoothing splines has been
recently introduced in Eubank et al.(Comput. Statist. Data Anal. 29 (1998) 27). It is based on …

We consider a difference based ridge regression estimator and a Liu type estimator of the
regression parameters in the partial linear semiparametric regression model, y= Xβ+ f+ ε …

Outliers are a common problem in applied statistics, together with multicollinearity. In this
paper, robust Liu estimators are introduced into a partially linear model to combat the …

A wavelet approach is presented for estimating a partially linear model (PLM). We find an
estimator of the PLM by minimizing the square of the l2 norm of the residual vector while …

In this article, we introduce a ridge estimator for the vector of parameters β in a
semiparametric model when additional linear restrictions on the parameter vector are …

The paper introduces a new difference-based ridge regression estimator ̂ β (k) of the
regression parameters β in the partial linear model. Its mean-squared error is compared …