Appropriate for a one-semester course, this self-contained book is an introduction to nonparametric curve estimation theory. It may be used for teaching graduate students in statistics (in this case an intermediate statistical inference, on the level of the book by G. Casella and R. Berger (1990) "Statistical Inference", Brooks/Cole, is the prerequisite) as well as for diverse classes with students from other sciences including engineering, business, social, medical, and biology
CONTENT
Orthonormal Series and Approximation -- Density Estimation for Small Samples -- Nonparametric Regression for Small Samples -- Nonparametric Time Series Analysis for Small Samples -- Estimation of Multivariate Functions for Small Samples -- Filtering and Asymptotics -- Nonseries Methods
