Nonparametric Curve Estimation
Methods, Theory, and Applications
Published on 23. March 2013
Book
Paperback/Softback
XIV, 414 pages
978-1-4757-7301-9 (ISBN)
Description
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1999
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XIV, 414 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 24 mm
Weight
651 gr
ISBN-13
978-1-4757-7301-9 (9781475773019)
DOI
10.1007/b97679
Schweitzer Classification
Other editions
Additional editions
Book
08/1999
Springer
€106.99
Shipment within 5-7 days
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.