
Overview
- This book is an essential reference for applied and theoretical statisticians interested in the theory and applications of fitting probability models to data.
Part of the book series: Springer Series in Statistics (SSS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (10 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Nonparametric Smoothing and Lack-of-Fit Tests
Authors: Jeffrey D. Hart
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-1-4757-2722-7
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1997
Hardcover ISBN: 978-0-387-94980-2Published: 31 July 1997
Softcover ISBN: 978-1-4757-2724-1Published: 28 November 2012
eBook ISBN: 978-1-4757-2722-7Published: 14 March 2013
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XII, 288
Topics: Applications of Mathematics