Authors:
- 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)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Department of Statistics, Texas A&M University, College Station, USA
Jeffrey D. Hart
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
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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