This self-contained book is an introduction to nonparametric curve estimation theory.
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.
This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation, nonparametric regression, filtering signals, and time series analysis. The companion software package, available over the Internet, brings all of the discussed topics into the realm of interactive research. Virtually every claim and development mentioned in the book is illustrated with graphs which are available for the reader to reproduce and modify, making the material fully transparent and allowing for complete interactivity.
Inhaltsverzeichnis
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.
Klappentext
This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation, nonparametric regression, filtering signals, and time series analysis. The companion software package, available over the Internet, brings all of the discussed topics into the realm of interactive research. Virtually every claim and development mentioned in the book is illustrated with graphs which are available for the reader to reproduce and modify, making the material fully transparent and allowing for complete interactivity.
This self-contained book is an introduction to nonparametric curve estimation theory.