Softcover reprint of the original 1st Edition 2000
Paperback (24 Sep 2012)
Includes delivery to the United States
10+ copies available online - Usually dispatched within 7 days
Linear regression is an important area of statistics, theoretical or applied. There have been a large number of estimation methods proposed and developed for linear regression. Each has its own competitive edge but none is good for all purposes. This manuscript focuses on construction of an adaptive combination of two estimation methods. The purpose of such adaptive methods is to help users make an objective choice and to combine desirable properties of two estimators.
| ISBN: | 9781461264644 |
| Publisher: | Springer New York |
| Imprint: | Springer |
| Pub date: | 24 Sep 2012 |
| Edition: | Softcover reprint of the original 1st Edition 2000 |
| Language: | English |
| Number of pages: | 177 |
| Weight: | 302g |
| Height: | 235mm |
| Width: | 155mm |
| Spine width: | 10mm |
$4.56off
Paperback
Published 08 Aug 2023
Save $4.56
$3.99off
Paperback
Published 29 May 2023
Save $3.99
