Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regre

The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis ch

The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in resea

Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the