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.
| ISBN: | 9781475773019 |
| Publication date: | 23rd March 2013 |
| Author: | Sam Efromovich |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 414 pages |
| Series: | Springer Series in Statistics |
| Genres: |
Probability and statistics |
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.
Nonparametric Curve Estimation features in the following genres: Probability and statistics
Paperback, Ebook, Hardback. Not Available.
Nonparametric Curve Estimation was written by Sam Efromovich and published by Springer an imprint of Springer New York
Nonparametric Curve Estimation has 414 pages
Yes it is part of Springer Series in Statistics series