Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (ISSN)
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- Synopsis
- Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique provides a unifying approach to a wide range of smoothing problems. The emphasis is methodological rather than theoretical, and the authors concentrate on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students.
- Copyright:
- 1993
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781040072783
- Related ISBNs:
- 9781482229752, 9780412300400, 9780429161056
- Publisher:
- CRC Press
- Date of Addition:
- 06/14/24
- Copyrighted By:
- PJ. Green and B.W. Silverman
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.