On contractions in linear regression
✍ Scribed by Jürgen Gross
- Book ID
- 104340602
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 89 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0378-3758
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper we demonstrate how the concept of a contractive matrix plays its role in linear regression. We review some well-known facts on the outperformance of the ordinary least-squares estimator and combine these with some new results on admissibility of estimators. Moreover, results on linear su ciency and linear completeness are given.
📜 SIMILAR VOLUMES
In this paper sums of independent but not identically distributed m-dimensional vectors are considered. The summands are generated by a random vector multiplied by a deterministic weight matrix which results in a singular covariance matrix. Under general conditions, given separately for the weight m