Nonparametric Curve Estimation Methods, Theory, and Applications /
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) &q...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
1999.
|
| Series: | Springer Series in Statistics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
| Summary: | 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. |
|---|---|
| Physical Description: | XIV, 414 p. online resource. |
| ISBN: | 9780387226385 |
| ISSN: | 0172-7397 |
