• 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.

From the reviews: "The Art of Semiparametrics is a collection of 10 edited chapters with 33 figures and 11 tables. ... This special collection of selected articles nicely blends the theoretical results with applied statistics and empirical studies ... . Almost all of the chapters are clear and well written ... . I find this diverse collection an interesting one. Researchers and practitioners interested in the latest research in semiparametric statistics may find this volume to be an appealing collection of papers to add to their library." (Technometrics, Vol. 49 (1), February, 2007)

• 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.

From the reviews: "The Art of Semiparametrics is a collection of 10 edited chapters with 33 figures and 11 tables. ... This special collection of selected articles nicely blends the theoretical results with applied statistics and empirical studies ... . Almost all of the chapters are clear and well written ... . I find this diverse collection an interesting one. Researchers and practitioners interested in the latest research in semiparametric statistics may find this volume to be an appealing collection of papers to add to their library." (Technometrics, Vol. 49 (1), February, 2007)

• 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.

From the reviews: "The Art of Semiparametrics is a collection of 10 edited chapters with 33 figures and 11 tables. ... This special collection of selected articles nicely blends the theoretical results with applied statistics and empirical studies ... . Almost all of the chapters are clear and well written ... . I find this diverse collection an interesting one. Researchers and practitioners interested in the latest research in semiparametric statistics may find this volume to be an appealing collection of papers to add to their library." (Technometrics, Vol. 49 (1), February, 2007)