**Meet the editors**

Young Kinh-Nhue Truong, PhD, is a professor of Biostatistics at the University of North Carolina at Chapel Hill. His research expertise includes statistical learning, functional modeling, time series, spatiotemporal data analysis, and event history analysis. He has in the areas of statistical time series/longitudinal modeling using splines, window or kernel-based smoothing methods,

and wavelets. His current research focuses mainly on spatiotemporal data analysis with the aim to spatially localize dynamic processes in the functional magnetic resonance imaging (fMRI) or electroencephalography (EEG) human brain data. He is also interested in developing statistical inference for group comparison based on human brain imaging data and methods for analyzing neuro-spike train data. His teaching and research experience in linear mixed modeling has provided new insights and approaches to many statistical analyses for handling between- and within-subject variability.

Muhammad Sarfraz is a professor in Kuwait University, Kuwait. He received his PhD degree from Brunel University, UK, in 1990. His research interests include computer graphics, pattern recognition, computer vision, image processing, and soft computing. He is currently working on various projects related to academia and industry. Prof. Sarfraz has been a keynote/invited

speaker at various platforms around the globe. He has advised more than 60 students for their MSc and PhD degree theses. He has produced more than 330 publications in the form of various books, book chapters, journals, and conference papers.

Prof. Sarfraz is member of various professional societies including IEEE and ACM. He is a chair and member of various international conferences. He is also an editor/guest editor of various international conference proceedings, books, and journals. He is a reviewer for many international journals, conferences, meetings, and workshops around the world. He has received various awards in education, research, and administrative services.

Contents

**Preface VII**

Chapter 1 **Scalar and Parametric Spline Curves and Surfaces 1**

Chapter 2 **An Algorithm Based on the Continuous Wavelet Transform**

Chapter 3 **Multivariate Adaptive Regression Splines in Standard Cell Characterization for Nanometer Technology in**

Chapter 4 **Smoothing Spline ANOVA Models and their Applications in**

Jingyi Zhang, Honghe Jin, Ye Wang, Xiaoxiao Sun, Ping Ma and

**Complex and Massive Datasets 63**

Chapter 5 **Model Testing Based on Regression Spline 83**

Huong Thi Thu Pham and Hoa Pham

**Time-To-Event Data 105**

**Systems: A Review 129**

and Kothari D.P.

Chapter 6 **Penalized Spline Joint Models for Longitudinal and**

Chapter 7 **Application of Cubic Spline Interpolation Technique in Power**

Akhil Prasad, Atul Manmohan, Prabhakar Karthikeyan Shanmugam

**with Splines for the Automatic Measurement of QT Dispersion: Validation and Application in Chronic Kidney Disease 23** María de Lourdes Corzo-Cuesta and Carlos Alvarado-Serrano

Horacio Florez and Belsay Borges

**Semiconductor 47**

Wenxuan Zhong

Taizhi Liu

Na Li
