In this paper, the relationship between X, the structure matrix in a polynomial reyression (PR) model, and Z, the structure matrix in an orthoyonalpolynomial reyression (OPR) model, is established. We show that C(X)>>,C(Z), where C(X) denotes the condition number of X, and OPR is superior to PR unde
Extending the relationship between ridge regression and continuum regression
β Scribed by Sijmen de Jong; Richard W. Farebrother
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 269 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0169-7439
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract To detect genetic association with common and complex diseases, two powerful yet quite different multimarker association tests have been proposed, genomic distanceβbased regression (GDBR) (Wessel and Schork [2006] Am J Hum Genet 79:821β833) and kernel machine regression (KMR) (Kwee et a
The total least-squares ('ES) technique, which is well known in numerical linear algebra and able to compute strongly consistent estimators of the parameters in a linear errors-in-variables model, is compared algebraically with the classical regression estimators. Using the singular-value decomposit