| 书目名称 | Linear Regression |
| 编辑 | Jürgen Groß |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | Lecture Notes in Statistics |
| 图书封面 |  |
| 描述 | In linear regression the ordinary least squares estimator plays a central role and sometimes one may get the impression that it is the only reasonable and applicable estimator available. Nonetheless, there exists a variety of alterna tives, proving useful in specific situations. Purpose and Scope. This book aims at presenting a comprehensive survey of different point estimation methods in linear regression, along with the the oretical background on a advanced courses level. Besides its possible use as a companion for specific courses, it should be helpful for purposes of further reading, giving detailed explanations on many topics in this field. Numerical examples and graphics will aid to deepen the insight into the specifics of the presented methods. For the purpose of self-containment, the basic theory of linear regression models and least squares is presented. The fundamentals of decision theory and matrix algebra are also included. Some prior basic knowledge, however, appears to be necessary for easy reading and understanding. |
| 出版日期 | Book 2003 |
| 关键词 | Covariance matrix; Estimator; Least Squares; Point Estimation; Regression; Variance; linear regression |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-55864-1 |
| isbn_softcover | 978-3-540-40178-0 |
| isbn_ebook | 978-3-642-55864-1Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer-Verlag Berlin Heidelberg 2003 |
发表于 2025-3-21 16:25:08
