Description
SPRINGER Art Of Semiparametrics 2006 Edition by WOLFGANG HARDLE, STEFAN SPERLICH, GOKHAN AYDINLI
This selection of articles emerged from different works presented "The Art of Semiparametrics" conference in 2003 in Berlin. It offers a collection of individual works that together show the large spectrum of semiparametric statistics. The book combines theoretical contributions with more applied and empirical studies. Although each article represents an original contribution to its own field, all are written in a self-contained way that may be read by non-experts. Asymptotic Theory for M-Estimators of Boundaries.- A Simple Deconvolving Kernel Density Estimator when Noise Is Gaussian.- Nonparametric Volatility Estimation on the Real Line from Low Frequency Data.- Linear Regression Models for Functional Data.- Penalized Binary Regression as Statistical Learning Tool for Microarray Analysis.- A Relaxed Iterative Projection Algorithm for Rank-Deficient Regression Problems.- About Sense and Nonsense of Non- and Semiparametric Analysis in Applied Economics.- Functional Nonparametric Statistics in Action.- Productivity Effects of IT-Outsourcing: Semiparametric Evidence for German Companies.- Nonparametric and Semiparametric Estimation of Additive Models with Both Discrete and Continuous Variables under Dependence.